maxiw/hf-posts · Datasets at Hugging Face

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341606281497201	[ { "type": "text", "value": "New adapt.s for dev 🍔", "raw": "New adapt.s for dev 🍔", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " Hosted -> ", "raw": " Hosted -> ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC", "href": null, "resource": { "type": "space", "id": "prithivMLmods/FLUX-LoRA-DLC", "discussionNum": null }, "url": "https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC", "lang": null, "code": null, "label": 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"value": "✨Dark Pink: ", "raw": "✨Dark Pink: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Dark-Thing-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Shadow Projection: ", "raw": "✨Shadow Projection: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Shadow-Projection-Flux-LoRA", "href": null, "resource": { "type": "model", "id": 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"https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🎉LoRA Spaces: ", "raw": "🎉LoRA Spaces: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32", "href": null, "resource": { "type": "collection", "id": "prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32", "discussionNum": null }, "url": "https://huggingface.co/collections/prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "------------", "raw": "------------", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".@prithivMLmods 🤗", "raw": ".@prithivMLmods 🤗", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	New adapt.s for dev 🍔 Hosted -> https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC ✨Teen Outfit: https://huggingface.co/prithivMLmods/Teen-Outfit ✨Dark Pink: https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA ✨Shadow Projection: https://huggingface.co/prithivMLmods/Shadow-Projection-Flux-LoRA ✨Abstract Cartoon: https://huggingface.co/prithivMLmods/Abstract-Cartoon-Flux-LoRA ✨Street Bokeh: https://huggingface.co/prithivMLmods/Street-Bokeh-Flux-LoRA ✨Fine Detailed: https://huggingface.co/prithivMLmods/Flux-Realism-FineDetailed ✨Bold Shadows: https://huggingface.co/prithivMLmods/Bold-Shadows-Flux-LoRA ✨Yellow Laser: https://huggingface.co/prithivMLmods/Yellow-Laser-Flux-LoRA ------------ 🎉LoRA Collection: https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be 🎉LoRA Spaces: https://huggingface.co/collections/prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32 ------------ . . .@prithivMLmods 🤗	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/65bb837dbfb878f46c77de4c/UVtVbF_3rdt0DC8xTkpL1.jpeg", "fullname": "Prithiv Sakthi", "name": "prithivMLmods", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 317, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/615NEYFefOcZ1d7xMcOiz.png" }, { "type": 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"rdrede", "darksfx", "hypergod", "ai4life44", "ermac1987", "Jiar", "John6666", "prithivMLmods" ], "count": 9 }, { "reaction": "❤️", "users": [ "Mrdesigner14", "ermac1987", "darksfx" ], "count": 3 }, { "reaction": "😎", "users": [ "Mrdesigner14", "ermac1987" ], "count": 2 }, { "reaction": "👀", "users": [ "hypergod", "ermac1987" ], "count": 2 }, { "reaction": "👍", "users": [ "amimr" ], "count": 1 } ]	2024-11-12T06:00:02.000Z	2024-11-12T06:00:02.737Z	[]	/posts/prithivMLmods/341606281497201	2,470	0
981432338142461	[ { "type": "text", "value": "Sharing a new space to test out ViTPose, a pose estimation model using Visual Transformers.", "raw": "Sharing a new space to test out ViTPose, a pose estimation model using Visual Transformers.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "[ViTPose Playground](", "raw": "[ViTPose Playground](", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Dref360/vit_pose_playground", "href": null, "resource": { "type": "space", "id": "Dref360/vit_pose_playground", "discussionNum": null }, "url": "https://huggingface.co/spaces/Dref360/vit_pose_playground", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ")", "raw": ")", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This model will be available in ", "raw": "This model will be available in ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`transformers`", "href": null, "resource": null, "url": null, "lang": null, "code": "transformers", "label": null, "user": null }, { "type": "text", "value": " once [#30530](", "raw": " once [#30530](", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/transformers/pull/30530", "href": "https://github.com/huggingface/transformers/pull/30530", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ") is merged. Huge shoutout to ", "raw": ") is merged. Huge shoutout to ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@nielsr", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "nielsr" }, { "type": "text", "value": " and ", "raw": " and ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@danelcsb", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "danelcsb" }, { "type": "text", "value": " for bringing this to HF!", "raw": " for bringing this to HF!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Here's the result on my Ken Halloween costume.", "raw": "Here's the result on my Ken Halloween costume.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	Sharing a new space to test out ViTPose, a pose estimation model using Visual Transformers. [ViTPose Playground](https://huggingface.co/spaces/Dref360/vit_pose_playground) This model will be available in `transformers` once [#30530](https://github.com/huggingface/transformers/pull/30530) is merged. Huge shoutout to @nielsr and @danelcsb for bringing this to HF! Here's the result on my Ken Halloween costume.	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/61d6f47bd49065ee28a1ee7d/RCcQBAABHU9fVVqzoDqTA.jpeg", "fullname": "Frederic Branchaud-Charron", "name": "Dref360", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/61d6f47bd49065ee28a1ee7d/cOGh7Fzyh03Gd2NCu9ELE.webp" } ]	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6579e0eaa9e58aec614e9d97/zklEVBvTRHoIvVjuVLRom.jpeg", "fullname": "Sangbum Choi", "name": "danelcsb", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2 }, { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1608042047613-5f1158120c833276f61f1a84.jpeg", "fullname": "Niels Rogge", "name": "nielsr", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 667 } ]	[ { "reaction": "👍", "users": [ "danelcsb", "John6666", "den0620" ], "count": 3 }, { "reaction": "🤝", "users": [ "prithivMLmods" ], "count": 1 }, { "reaction": "🔥", "users": [ "mrlive02" ], "count": 1 } ]	2024-11-11T21:55:48.000Z	2024-11-12T01:24:36.235Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6579e0eaa9e58aec614e9d97/zklEVBvTRHoIvVjuVLRom.jpeg", "fullname": "Sangbum Choi", "name": "danelcsb", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2, "isFollowing": false } ]	/posts/Dref360/981432338142461	2,029	1
683667017155458	[ { "type": "text", "value": "🤯 AI progress keeps blowing my mind! Just experienced Qwen's new Coder demo - built a complete flashcard web app with a single prompt. The results are incredible!", "raw": "🤯 AI progress keeps blowing my mind! Just experienced Qwen's new Coder demo - built a complete flashcard web app with a single prompt. The results are incredible!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This demo is part of the new Qwen2.5 Coder family (0.5B to 32B models), surpassing/matching GPT4o and Claude Sonnet 3.5 across multiple coding benchmarks.", "raw": "This demo is part of the new Qwen2.5 Coder family (0.5B to 32B models), surpassing/matching GPT4o and Claude Sonnet 3.5 across multiple coding benchmarks.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 128K context window for 14B/32B models ", "raw": "- 128K context window for 14B/32B models ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Drop-in replacement for GPT-4 in Cursor & Artifacts ", "raw": "- Drop-in replacement for GPT-4 in Cursor & Artifacts ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Models on the Hub under Apache 2.0 license", "raw": "- Models on the Hub under Apache 2.0 license", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔗 Try it yourself: ", "raw": "🔗 Try it yourself: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "href": null, "resource": { "type": "space", "id": "Qwen/Qwen2.5-Coder-Artifacts", "discussionNum": null }, "url": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This is democratization of coding in real-time. Excited to see AI tools becoming more capable and accessible.", "raw": "This is democratization of coding in real-time. Excited to see AI tools becoming more capable and accessible.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "What would you build with this? Share your ideas below! 👇", "raw": "What would you build with this? Share your ideas below! 👇", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "#AI #Programming #TechInnovation #OpenSource #SoftwareDevelopment", "raw": "#AI #Programming #TechInnovation #OpenSource #SoftwareDevelopment", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	🤯 AI progress keeps blowing my mind! Just experienced Qwen's new Coder demo - built a complete flashcard web app with a single prompt. The results are incredible! This demo is part of the new Qwen2.5 Coder family (0.5B to 32B models), surpassing/matching GPT4o and Claude Sonnet 3.5 across multiple coding benchmarks. - 128K context window for 14B/32B models - Drop-in replacement for GPT-4 in Cursor & Artifacts - Models on the Hub under Apache 2.0 license 🔗 Try it yourself: https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts This is democratization of coding in real-time. Excited to see AI tools becoming more capable and accessible. What would you build with this? Share your ideas below! 👇 #AI #Programming #TechInnovation #OpenSource #SoftwareDevelopment	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/647f36a8454af0237bd49574/jshkqBUTY-GZL8As8y6Aq.jpeg", "fullname": "Florent Daudens", "name": "fdaudens", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 345, "isFollowing": false }	[ { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/647f36a8454af0237bd49574/LFdS-AkABNYY_ZBkJxFIl.mp4" } ]	[]	[ { "reaction": "👍", "users": [ "giseldo", "John6666", "abdeljalilELmajjodi", "mrlive01", "mrlive02" ], "count": 5 }, { "reaction": "🤝", "users": [ "ednsinf" ], "count": 1 }, { "reaction": "👀", "users": [ "John6666" ], "count": 1 } ]	2024-11-11T21:22:17.000Z	2024-11-13T08:06:53.555Z	[ { "avatarUrl": "/avatars/5cbfa6cbde933503bbc3577cf713e7b5.svg", "fullname": "Friedrich Marty", "name": "Smorty100", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": null, "isFollowing": false } ]	/posts/fdaudens/683667017155458	1,995	1
391290114296515	[ { "type": "text", "value": "🎵 Introducing Suno Music Generation Dataset - ", "raw": "🎵 Introducing Suno Music Generation Dataset - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/nyuuzyou/suno", "href": null, "resource": { "type": "dataset", "id": "nyuuzyou/suno", "discussionNum": null }, "url": "https://huggingface.co/datasets/nyuuzyou/suno", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Dataset highlights:", "raw": "Dataset highlights:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 659,788 AI-generated music samples with comprehensive metadata from suno.com", "raw": "- 659,788 AI-generated music samples with comprehensive metadata from suno.com", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Multilingual content with English as primary language, including Japanese and other languages", "raw": "- Multilingual content with English as primary language, including Japanese and other languages", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Each entry contains rich metadata including:", "raw": "- Each entry contains rich metadata including:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - Unique song ID, audio/video URLs, and thumbnail images", "raw": " - Unique song ID, audio/video URLs, and thumbnail images", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - AI model version and generation parameters", "raw": " - AI model version and generation parameters", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - Song metadata (tags, prompts, duration)", "raw": " - Song metadata (tags, prompts, duration)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - Creator information and engagement metrics", "raw": " - Creator information and engagement metrics", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Released to the public domain under Creative Commons Zero (CC0) license", "raw": "- Released to the public domain under Creative Commons Zero (CC0) license", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for:", "raw": "The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Music generation model training", "raw": "- Music generation model training", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Cross-modal analysis (text-to-audio relationships)", "raw": "- Cross-modal analysis (text-to-audio relationships)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- User engagement studies", "raw": "- User engagement studies", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Audio classification tasks", "raw": "- Audio classification tasks", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Music style and genre analysis", "raw": "- Music style and genre analysis", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	🎵 Introducing Suno Music Generation Dataset - https://huggingface.co/datasets/nyuuzyou/suno Dataset highlights: - 659,788 AI-generated music samples with comprehensive metadata from suno.com - Multilingual content with English as primary language, including Japanese and other languages - Each entry contains rich metadata including: - Unique song ID, audio/video URLs, and thumbnail images - AI model version and generation parameters - Song metadata (tags, prompts, duration) - Creator information and engagement metrics - Released to the public domain under Creative Commons Zero (CC0) license The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for: - Music generation model training - Cross-modal analysis (text-to-audio relationships) - User engagement studies - Audio classification tasks - Music style and genre analysis	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/643ac5d2e2b979ae6144d68c/Z7PCNopn4cQeAYnVJDoqG.png", "fullname": "nyuuzyou", "name": "nyuuzyou", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 55, "isFollowing": false }	[]	[]	[ { "reaction": "👍", "users": [ "Latyrine", "John6666", "Ar4ikov", "Ryukijano", "V65696C", "KillerShoaib", "mrlive01" ], "count": 7 }, { "reaction": "🚀", "users": [ "John6666", "Ryukijano" ], "count": 2 }, { "reaction": "❤️", "users": [ "John6666" ], "count": 1 } ]	2024-11-11T19:08:36.000Z	2024-11-11T19:08:36.326Z	[]	/posts/nyuuzyou/391290114296515	1,908	0
657270848213422	[ { "type": "text", "value": "𝗤𝘄𝗲𝗻𝟮.𝟱-𝗖𝗼𝗱𝗲𝗿-𝟯𝟮𝗕: 𝗻𝗲𝘄 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝗼𝗽𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, 𝗯𝗲𝗮𝘁𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗼𝗻 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀!💥", "raw": "𝗤𝘄𝗲𝗻𝟮.𝟱-𝗖𝗼𝗱𝗲𝗿-𝟯𝟮𝗕: 𝗻𝗲𝘄 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝗼𝗽𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, 𝗯𝗲𝗮𝘁𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗼𝗻 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀!💥", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "💪 It's the first time Open-Source coding model of this size class that clearly matches GPT-4o's coding capabilities!", "raw": "💪 It's the first time Open-Source coding model of this size class that clearly matches GPT-4o's coding capabilities!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨ Completes the previous two Qwen 2.5 Coder release with 4 new size: 0.5B, 3B, 14B, 32B", "raw": "✨ Completes the previous two Qwen 2.5 Coder release with 4 new size: 0.5B, 3B, 14B, 32B", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📚 Support long context up to 128K (for the 14B and 32B models)", "raw": "📚 Support long context up to 128K (for the 14B and 32B models)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✅ Drop-in replacement to GPT-4o as a coding assistant on Cursor or for Artifacts!", "raw": "✅ Drop-in replacement to GPT-4o as a coding assistant on Cursor or for Artifacts!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🤗 Models available right now on the Hub, under Apache 2.0 license!", "raw": "🤗 Models available right now on the Hub, under Apache 2.0 license!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "They have setup a crazy Artifacts demo, you should go have a look!", "raw": "They have setup a crazy Artifacts demo, you should go have a look!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "👉 ", "raw": "👉 ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "href": null, "resource": { "type": "space", "id": "Qwen/Qwen2.5-Coder-Artifacts", "discussionNum": null }, "url": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "lang": null, "code": null, "label": null, "user": null } ]	𝗤𝘄𝗲𝗻𝟮.𝟱-𝗖𝗼𝗱𝗲𝗿-𝟯𝟮𝗕: 𝗻𝗲𝘄 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝗼𝗽𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, 𝗯𝗲𝗮𝘁𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗼𝗻 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀!💥 💪 It's the first time Open-Source coding model of this size class that clearly matches GPT-4o's coding capabilities! ✨ Completes the previous two Qwen 2.5 Coder release with 4 new size: 0.5B, 3B, 14B, 32B 📚 Support long context up to 128K (for the 14B and 32B models) ✅ Drop-in replacement to GPT-4o as a coding assistant on Cursor or for Artifacts! 🤗 Models available right now on the Hub, under Apache 2.0 license! They have setup a crazy Artifacts demo, you should go have a look! 👉 https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/63d10d4e8eaa4831005e92b5/7p7-OmWM6PqqCs7ZStPGD.jpeg", "fullname": "Aymeric Roucher", "name": "m-ric", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 453, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/63d10d4e8eaa4831005e92b5/E-946xCafuXoLa3qRr2DJ.png" } ]	[]	[ { "reaction": "🔥", "users": [ "Nymbo", "Norm", "gatorand", "AtAndDev", "apeSh1t", "aliyansayz", "splevine", "wajeehulhassan", "yaaaaam1", "louisbrulenaudet", "xi0v", "Chroma111" ], "count": 12 }, { "reaction": "🚀", "users": [ "Nymbo", "John6666", "AtAndDev", "yaaaaam1", "xi0v", "Chroma111" ], "count": 6 }, { "reaction": "🤗", "users": [ "Chroma111" ], "count": 1 } ]	2024-11-11T18:33:40.000Z	2024-11-11T18:33:40.664Z	[]	/posts/m-ric/657270848213422	2,573	0
254681486405618	[ { "type": "text", "value": "𝗔𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝘄𝘀 𝗼𝘃𝗲𝗿? 𝗔 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗮𝘁 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘀𝗲𝗲𝗶𝗻𝗴 𝗱𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗲𝘁𝘂𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗚𝗣𝗧 𝗺𝗼𝗱𝗲𝗹𝘀.", "raw": "𝗔𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝘄𝘀 𝗼𝘃𝗲𝗿? 𝗔 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗮𝘁 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘀𝗲𝗲𝗶𝗻𝗴 𝗱𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗲𝘁𝘂𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗚𝗣𝗧 𝗺𝗼𝗱𝗲𝗹𝘀.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📊 What are scaling laws? These are empiric laws that say \"Every time you increase compute spent in training 10-fold, your LLM's performance will go up by a predictable tick\". Of course, they apply only if you train your model with the right methods.", "raw": "📊 What are scaling laws? These are empiric laws that say \"Every time you increase compute spent in training 10-fold, your LLM's performance will go up by a predictable tick\". Of course, they apply only if you train your model with the right methods.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The image below illustrates it: they're from a paper by Google, \"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation\", and they show how quality and instruction following of models improve when you scale the model up (which is equivalent to scaling up the compute spent in training).", "raw": "The image below illustrates it: they're from a paper by Google, \"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation\", and they show how quality and instruction following of models improve when you scale the model up (which is equivalent to scaling up the compute spent in training).", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "➡️ These scaling laws have immense impact: they triggered the largest gold rush ever, with companies pouring billions into scaling up theiur training. Microsoft and OpenAI spent 100B into their \"Startgate\" mega training cluster, due to start running in 2028.", "raw": "➡️ These scaling laws have immense impact: they triggered the largest gold rush ever, with companies pouring billions into scaling up theiur training. Microsoft and OpenAI spent 100B into their \"Startgate\" mega training cluster, due to start running in 2028.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🤔 So, what about these reports of scaling laws slowing down?", "raw": "🤔 So, what about these reports of scaling laws slowing down?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "If they are true, they would mean a gigantic paradigm shift, as the hundreds of billions poured by AI companies into scaling could be a dead-end. ⛔️", "raw": "If they are true, they would mean a gigantic paradigm shift, as the hundreds of billions poured by AI companies into scaling could be a dead-end. ⛔️", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "But I doubt it: until the most recent publications, scaling laws showed no signs of weakness, and the researchers at the higher end of the scale-up seems to imply the scaling up continues. ", "raw": "But I doubt it: until the most recent publications, scaling laws showed no signs of weakness, and the researchers at the higher end of the scale-up seems to imply the scaling up continues. ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Wait and see!", "raw": "Wait and see!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	𝗔𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝘄𝘀 𝗼𝘃𝗲𝗿? 𝗔 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗮𝘁 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘀𝗲𝗲𝗶𝗻𝗴 𝗱𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗲𝘁𝘂𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗚𝗣𝗧 𝗺𝗼𝗱𝗲𝗹𝘀. 📊 What are scaling laws? These are empiric laws that say "Every time you increase compute spent in training 10-fold, your LLM's performance will go up by a predictable tick". Of course, they apply only if you train your model with the right methods. The image below illustrates it: they're from a paper by Google, "Scaling Autoregressive Models for Content-Rich Text-to-Image Generation", and they show how quality and instruction following of models improve when you scale the model up (which is equivalent to scaling up the compute spent in training). ➡️ These scaling laws have immense impact: they triggered the largest gold rush ever, with companies pouring billions into scaling up theiur training. Microsoft and OpenAI spent 100B into their "Startgate" mega training cluster, due to start running in 2028. 🤔 So, what about these reports of scaling laws slowing down? If they are true, they would mean a gigantic paradigm shift, as the hundreds of billions poured by AI companies into scaling could be a dead-end. ⛔️ But I doubt it: until the most recent publications, scaling laws showed no signs of weakness, and the researchers at the higher end of the scale-up seems to imply the scaling up continues. Wait and see!	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/63d10d4e8eaa4831005e92b5/7p7-OmWM6PqqCs7ZStPGD.jpeg", "fullname": "Aymeric Roucher", "name": "m-ric", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 453, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/63d10d4e8eaa4831005e92b5/8cVKtpHXPFt15-uogguTk.png" } ]	[]	[ { "reaction": "🔥", "users": [ "Smorty100", "Viewegger" ], "count": 2 }, { "reaction": "👀", "users": [ "John6666" ], "count": 1 } ]	2024-11-11T17:51:50.000Z	2024-11-13T08:35:45.216Z	[ { "avatarUrl": "/avatars/5cbfa6cbde933503bbc3577cf713e7b5.svg", "fullname": "Friedrich Marty", "name": "Smorty100", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": null, "isFollowing": false } ]	/posts/m-ric/254681486405618	682	1
444428540739993	[ { "type": "text", "value": "Best Debug Prompt ", "raw": "Best Debug Prompt ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.", "raw": "You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "For each potential failure:", "raw": "For each potential failure:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "1. What would make you say \"This app is totally broken!\"?", "raw": "1. What would make you say \"This app is totally broken!\"?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "2. What exact steps did you take when it broke?", "raw": "2. What exact steps did you take when it broke?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "3. What did you see on your screen when it broke?", "raw": "3. What did you see on your screen when it broke?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "4. How angry would this make a typical user (1-10)?", "raw": "4. How angry would this make a typical user (1-10)?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "5. What would you expect the app to do instead?", "raw": "5. What would you expect the app to do instead?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Think about:", "raw": "Think about:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What happens if you click buttons really fast?", "raw": "- What happens if you click buttons really fast?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if your internet is slow/disconnected?", "raw": "- What if your internet is slow/disconnected?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you upload weird files/images?", "raw": "- What if you upload weird files/images?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you try to break the app on purpose?", "raw": "- What if you try to break the app on purpose?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if multiple people use it at once?", "raw": "- What if multiple people use it at once?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you use it on mobile/tablet?", "raw": "- What if you use it on mobile/tablet?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you refresh/navigate while it's working?", "raw": "- What if you refresh/navigate while it's working?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you paste invalid inputs?", "raw": "- What if you paste invalid inputs?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you upload HUGE files?", "raw": "- What if you upload HUGE files?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you leave it running overnight?", "raw": "- What if you leave it running overnight?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Don't worry about being technical - just describe what you saw break as a user.", "raw": "Don't worry about being technical - just describe what you saw break as a user.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Format each issue like:", "raw": "Format each issue like:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "ISSUE #1: [Brief angry user description]", "raw": "ISSUE #1: [Brief angry user description]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- STEPS TO BREAK IT: [Exactly what you did]", "raw": "- STEPS TO BREAK IT: [Exactly what you did]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- WHAT HAPPENED: [What you saw]", "raw": "- WHAT HAPPENED: [What you saw]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ANGER LEVEL: [1-10]", "raw": "- ANGER LEVEL: [1-10]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- EXPECTED: [What should happen]", "raw": "- EXPECTED: [What should happen]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Keep going until you've found every possible way to break this app from a user's perspective!", "raw": "Keep going until you've found every possible way to break this app from a user's perspective!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)", "raw": "After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	Best Debug Prompt You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable. For each potential failure: 1. What would make you say "This app is totally broken!"? 2. What exact steps did you take when it broke? 3. What did you see on your screen when it broke? 4. How angry would this make a typical user (1-10)? 5. What would you expect the app to do instead? Think about: - What happens if you click buttons really fast? - What if your internet is slow/disconnected? - What if you upload weird files/images? - What if you try to break the app on purpose? - What if multiple people use it at once? - What if you use it on mobile/tablet? - What if you refresh/navigate while it's working? - What if you paste invalid inputs? - What if you upload HUGE files? - What if you leave it running overnight? Don't worry about being technical - just describe what you saw break as a user. Format each issue like: ISSUE #1: [Brief angry user description] - STEPS TO BREAK IT: [Exactly what you did] - WHAT HAPPENED: [What you saw] - ANGER LEVEL: [1-10] - EXPECTED: [What should happen] Keep going until you've found every possible way to break this app from a user's perspective! After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)	{ "avatarUrl": "/avatars/e47f8ca1133916d6112a18cf9eba63db.svg", "fullname": "Luigi", "name": "luigi12345", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 3, "isFollowing": false }	[]	[]	[ { "reaction": "👀", "users": [ "John6666", "xi0v", "AtAndDev", "nroggendorff" ], "count": 4 }, { "reaction": "😎", "users": [ "TouchNight", "AtAndDev", "mlmPenguin" ], "count": 3 }, { "reaction": "👍", "users": [ "mrlive01" ], "count": 1 } ]	2024-11-11T17:27:35.000Z	2024-11-11T17:27:35.284Z	[]	/posts/luigi12345/444428540739993	2,092	0
232920597638334	[ { "type": "text", "value": "I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details:", "raw": "I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new ", "raw": "1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`export_static_quantized_openvino_model`", "href": null, "resource": null, "url": null, "lang": null, "code": "export_static_quantized_openvino_model", "label": null, "user": null }, { "type": "text", "value": " method to quantize a model.", "raw": " method to quantize a model.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "2. We add the option to train with prompts, e.g. strings like \"query: \", \"search_document: \" or \"Represent this sentence for searching relevant passages: \". It's as simple as using the ", "raw": "2. We add the option to train with prompts, e.g. strings like \"query: \", \"search_document: \" or \"Represent this sentence for searching relevant passages: \". It's as simple as using the ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`prompts`", "href": null, "resource": null, "url": null, "lang": null, "code": "prompts", "label": null, "user": null }, { "type": "text", "value": " argument in ", "raw": " argument in ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`SentenceTransformerTrainingArguments`", "href": null, "resource": null, "url": null, "lang": null, "code": "SentenceTransformerTrainingArguments", "label": null, "user": null }, { "type": "text", "value": ". Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding \"query: \" before each training query and \"document: \" before each training answer.", "raw": ". Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding \"query: \" before each training query and \"document: \" before each training answer.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model.", "raw": "3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks.", "raw": "4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: ", "raw": "Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0", "href": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details: 1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new `export_static_quantized_openvino_model` method to quantize a model. 2. We add the option to train with prompts, e.g. strings like "query: ", "search_document: " or "Represent this sentence for searching relevant passages: ". It's as simple as using the `prompts` argument in `SentenceTransformerTrainingArguments`. Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding "query: " before each training query and "document: " before each training answer. 3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model. 4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks. Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6317233cc92fd6fee317e030/cJHSvvimr1kqgQfHOjO5n.png", "fullname": "Tom Aarsen", "name": "tomaarsen", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 1020, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/4xE8txYbHbzViuTgbujdQ.png" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/nk4Dnsz-TdImqy5F_pe-N.png" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/bu8ozWM9-O0d5d1KOi80H.png" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/jgOvDirvliwNenv8fX-kf.png" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/SXRbsjVkOyuK0IYaF5F6w.png" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/gKY7Y5w0ZL8cf_IKjnUwE.png" } ]	[]	[ { "reaction": "🔥", "users": [ "YaTharThShaRma999", "John6666", "iojvsuynv", "Mdubbya", "eriknovak", "den0620", "DmitryRyumin", "csabakecskemeti", "Tanvir1337", "andreagemelli", "praga95", "abdouaziiz", "splevine", "bayang" ], "count": 14 }, { "reaction": "👍", "users": [ "mlabonne", "m36", "abdouaziiz", "souze8" ], "count": 4 } ]	2024-11-11T12:24:17.000Z	2024-11-11T12:24:33.295Z	[]	/posts/tomaarsen/232920597638334	3,955	0
830550648952715	[ { "type": "text", "value": "Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.", "raw": "Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.	{ "avatarUrl": "/avatars/7be1913712fdd1ffe75967ed19007720.svg", "fullname": "stock mining", "name": "automatedstockminingorg", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 9, "isFollowing": false }	[]	[]	[ { "reaction": "👀", "users": [ "John6666", "devenbiz4group", "SOHAIBK1" ], "count": 3 } ]	2024-11-11T06:55:54.000Z	2024-11-12T22:46:51.468Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6640bbd0220cfa8cbfdce080/wiAHUu5ewawyipNs0YFBR.png", "fullname": "John Smith", "name": "John6666", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 364, "isFollowing": false }, { "avatarUrl": "/avatars/7be1913712fdd1ffe75967ed19007720.svg", "fullname": "stock mining", "name": "automatedstockminingorg", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 9, "isFollowing": false }, { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/630d5f5954c3dbd48059e614/x-vcRnBKOFuVjSSWQeuIB.png", "fullname": "Blake Donahoo", "name": "deathstarenterprise", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": null, "isFollowing": false } ]	/posts/automatedstockminingorg/830550648952715	2,490	4
534421532450932	[ { "type": "text", "value": "Excited to see my weird ", "raw": "Excited to see my weird ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/davanstrien/ufo-ColPali", "href": null, "resource": { "type": "dataset", "id": "davanstrien/ufo-ColPali", "discussionNum": null }, "url": "https://huggingface.co/datasets/davanstrien/ufo-ColPali", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " dataset featured in a video by ", "raw": " dataset featured in a video by ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@sabrinaesaquino", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "sabrinaesaquino" }, { "type": "text", "value": "! ", "raw": "! ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸", "raw": "The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Video: ", "raw": "Video: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz", "href": "https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Blog post: ", "raw": "Blog post: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html", "href": "https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	Excited to see my weird https://huggingface.co/datasets/davanstrien/ufo-ColPali dataset featured in a video by @sabrinaesaquino! The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸 Video: https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz Blog post: https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1627505688463-60107b385ac3e86b3ea4fc34.jpeg", "fullname": "Daniel van Strien", "name": "davanstrien", "type": "user", "isPro": true, "isHf": true, "isMod": false, "followerCount": 401, "isFollowing": false }	[]	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/65ce6e2d13fcc46fa6bb247d/r2bh12jisymNPgFpCFRGf.jpeg", "fullname": "Sabrina Aquino", "name": "sabrinaesaquino", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2 } ]	[ { "reaction": "🚀", "users": [ "sabrinaesaquino", "John6666", "Tonic", "Chao2012", "TuringsSolutions" ], "count": 5 }, { "reaction": "❤️", "users": [ "Aurelien-Morgan", "Tonic", "Chao2012" ], "count": 3 } ]	2024-10-30T14:02:34.000Z	2024-10-30T15:54:02.407Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/65ce6e2d13fcc46fa6bb247d/r2bh12jisymNPgFpCFRGf.jpeg", "fullname": "Sabrina Aquino", "name": "sabrinaesaquino", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2, "isFollowing": false }, { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1627505688463-60107b385ac3e86b3ea4fc34.jpeg", "fullname": "Daniel van Strien", "name": "davanstrien", "type": "user", "isPro": true, "isHf": true, "isMod": false, "followerCount": 401, "isFollowing": false } ]	/posts/davanstrien/534421532450932	2,407	2
524165813731334	[ { "type": "text", "value": "NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here!", "raw": "NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Trained on high quality science-instruct, complex queries, and general chat data!", "raw": "- Trained on high quality science-instruct, complex queries, and general chat data!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Uses our newest datasets, ALL open-sourced for everyone to use!", "raw": "- Uses our newest datasets, ALL open-sourced for everyone to use!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "GET SV2 70B: ", "raw": "GET SV2 70B: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2", "href": null, "resource": { "type": "model", "id": "ValiantLabs/Llama3.1-70B-ShiningValiant2", "discussionNum": null }, "url": "https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Find the SV datasets here, including the expanded version of our science-instruct dataset:", "raw": "- Find the SV datasets here, including the expanded version of our science-instruct dataset:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - ", "raw": " - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Celestia", "href": null, "resource": { "type": "dataset", "id": "sequelbox/Celestia", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Celestia", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - ", "raw": " - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Spurline", "href": null, "resource": { "type": "dataset", "id": "sequelbox/Spurline", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Spurline", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - ", "raw": " - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Supernova", "href": null, "resource": { "type": "dataset", "id": "sequelbox/Supernova", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Supernova", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- SV2 8b and 3b will be updated with the new datasets soon!", "raw": "- SV2 8b and 3b will be updated with the new datasets soon!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Enjoy! :)", "raw": "Enjoy! :)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here! - Trained on high quality science-instruct, complex queries, and general chat data! - Uses our newest datasets, ALL open-sourced for everyone to use! GET SV2 70B: https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2 - Find the SV datasets here, including the expanded version of our science-instruct dataset: - https://huggingface.co/datasets/sequelbox/Celestia - https://huggingface.co/datasets/sequelbox/Spurline - https://huggingface.co/datasets/sequelbox/Supernova - SV2 8b and 3b will be updated with the new datasets soon! Enjoy! :)	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/63444f2687964b331809eb55/XAenYV4LjZgwXjjKXDHUm.jpeg", "fullname": "t.d.a.g.", "name": "sequelbox", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 50, "isFollowing": false }	[]	[]	[ { "reaction": "👀", "users": [ "John6666" ], "count": 1 } ]	2024-10-30T13:13:59.000Z	2024-10-30T13:13:59.591Z	[]	/posts/sequelbox/524165813731334	391	0
413388260975224	[ { "type": "text", "value": "Cybertron is back:", "raw": "Cybertron is back:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class.", "raw": "We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations.", "raw": "The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Enjoy it in the hub as usual:", "raw": "Enjoy it in the hub as usual:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS", "href": null, "resource": { "type": "model", "id": "fblgit/cybertron-v4-qw7B-MGS", "discussionNum": null }, "url": "https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS", "lang": null, "code": null, "label": null, "user": null } ]	Cybertron is back: We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class. The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations. Enjoy it in the hub as usual: https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6401c8c9f98fbc64bcd7dca1/MOSgc_mPbfUZ-354osy1v.png", "fullname": "FBL", "name": "fblgit", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 228, "isFollowing": false }	[]	[]	[ { "reaction": "👀", "users": [ "John6666" ], "count": 1 } ]	2024-10-30T10:47:02.000Z	2024-10-31T05:30:22.492Z	[ { "avatarUrl": "/avatars/44ff5b58354edd971d40c953ecea7785.svg", "fullname": "Cheng Rui", "name": "postitive666", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": null, "isFollowing": false } ]	/posts/fblgit/413388260975224	520	1
346532636735144	[ { "type": "text", "value": "FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments", "raw": "FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Also Testing CFG Impact for Stylized Images on base FLUX DEV model", "raw": "Also Testing CFG Impact for Stylized Images on base FLUX DEV model", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Full size grids and full details shared here : ", "raw": "Full size grids and full details shared here : ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://www.patreon.com/posts/114969137", "href": "https://www.patreon.com/posts/114969137", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing", "raw": "The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments Also Testing CFG Impact for Stylized Images on base FLUX DEV model Full size grids and full details shared here : https://www.patreon.com/posts/114969137 The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1672531901326-6345bd89fe134dfd7a0dba40.png", "fullname": "Furkan Gözükara", "name": "MonsterMMORPG", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 355, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/JFkaRmdr44SIc0uYUYEhY.jpeg" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/B5Lmt7YCfvm9kGAZT9Dho.jpeg" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/3YpCUPeTZeOVVmaSB2br2.jpeg" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/HpAfY1VRg9zHYuuNaETwk.jpeg" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/b2UPvOtfUUEVMv9B--87e.jpeg" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/DS-On8bA3jV6T3yTFc3Tn.jpeg" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/QhqDhIqruowcblB3DAaTL.jpeg" } ]	[]	[ { "reaction": "👀", "users": [ "MonsterMMORPG", "OmbelineM", "djuna", "John6666", "Ba2han", "kimleang123" ], "count": 6 }, { "reaction": "🔥", "users": [ "MonsterMMORPG", "John6666" ], "count": 2 }, { "reaction": "🚀", "users": [ "MonsterMMORPG", "John6666" ], "count": 2 }, { "reaction": "😎", "users": [ "MonsterMMORPG", "MuizIsCool" ], "count": 2 }, { "reaction": "❤️", "users": [ "MonsterMMORPG" ], "count": 1 }, { "reaction": "🤗", "users": [ "MonsterMMORPG" ], "count": 1 }, { "reaction": "➕", "users": [ "MonsterMMORPG" ], "count": 1 }, { "reaction": "🧠", "users": [ "MonsterMMORPG" ], "count": 1 }, { "reaction": "👍", "users": [ "MonsterMMORPG" ], "count": 1 }, { "reaction": "🤝", "users": [ "MonsterMMORPG" ], "count": 1 }, { "reaction": "🤯", "users": [ "MonsterMMORPG" ], "count": 1 } ]	2024-10-29T23:48:36.000Z	2024-10-29T23:48:36.134Z	[]	/posts/MonsterMMORPG/346532636735144	2,575	0
975035590271872	[ { "type": "text", "value": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?", "raw": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Go from 🐢 -> 🐇", "raw": "Go from 🐢 -> 🐇", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "If you want a small model to perform well on your problem, you need to fine-tune it.", "raw": "If you want a small model to perform well on your problem, you need to fine-tune it.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Bootstrap with a teacher model.", "raw": "Bootstrap with a teacher model.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Correct potential mistakes to get high-quality data.", "raw": "Correct potential mistakes to get high-quality data.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Fine-tune your student model", "raw": "Fine-tune your student model", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Go more accurate and more efficient.", "raw": "Go more accurate and more efficient.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Free signup: ", "raw": "Free signup: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://lu.ma/zx2t7irs", "href": "https://lu.ma/zx2t7irs", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less? Go from 🐢 -> 🐇 If you want a small model to perform well on your problem, you need to fine-tune it. Bootstrap with a teacher model. Correct potential mistakes to get high-quality data. Fine-tune your student model Go more accurate and more efficient. Free signup: https://lu.ma/zx2t7irs	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1677141720071-634ff41ff32062e9eb7b06a3.jpeg", "fullname": "David Berenstein", "name": "davidberenstein1957", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 147, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/634ff41ff32062e9eb7b06a3/VxWE8aTTve2CuuhOnB55J.png" } ]	[]	[ { "reaction": "🤗", "users": [ "prithivMLmods", "John6666", "janinakeno", "NeuroSpaceX" ], "count": 4 } ]	2024-10-29T17:43:50.000Z	2024-10-29T17:44:14.561Z	[]	/posts/davidberenstein1957/975035590271872	1,733	0
983173115465455	[ { "type": "text", "value": "🚀 Exploring Topic Modeling with BERTopic 🤖", "raw": "🚀 Exploring Topic Modeling with BERTopic 🤖", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "When you come across an interesting dataset, you often wonder:", "raw": "When you come across an interesting dataset, you often wonder:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Which topics frequently appear in these documents? 🤔", "raw": "Which topics frequently appear in these documents? 🤔", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "What is this data really about? 📊", "raw": "What is this data really about? 📊", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.", "raw": "Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗", "raw": "I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔍 How do we make this work?", "raw": "🔍 How do we make this work?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Here’s the stack we’re using:", "raw": "Here’s the stack we’re using:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval", "raw": "📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)", "raw": "🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance", "raw": "⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering", "raw": "🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✂️ Tokenization ➡️ CountVectorizer", "raw": "✂️ Tokenization ➡️ CountVectorizer", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct", "raw": "🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🌍 Visualization ➡️ Datamapplot library", "raw": "🌍 Visualization ➡️ Datamapplot library", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Check out the space and see how you can quickly generate topics from your dataset: ", "raw": "Check out the space and see how you can quickly generate topics from your dataset: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/datasets-topics/topics-generator", "href": null, "resource": { "type": "space", "id": "datasets-topics/topics-generator", "discussionNum": null }, "url": "https://huggingface.co/spaces/datasets-topics/topics-generator", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Powered by ", "raw": "Powered by ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@MaartenGr", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "MaartenGr" }, { "type": "text", "value": " - BERTopic ", "raw": " - BERTopic ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	🚀 Exploring Topic Modeling with BERTopic 🤖 When you come across an interesting dataset, you often wonder: Which topics frequently appear in these documents? 🤔 What is this data really about? 📊 Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis. I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗 🔍 How do we make this work? Here’s the stack we’re using: 📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval 🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2) ⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance 🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering ✂️ Tokenization ➡️ CountVectorizer 🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct 🌍 Visualization ➡️ Datamapplot library Check out the space and see how you can quickly generate topics from your dataset: https://huggingface.co/spaces/datasets-topics/topics-generator Powered by @MaartenGr - BERTopic	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1674055965173-noauth.jpeg", "fullname": "Andrea Soria", "name": "asoria", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 58, "isFollowing": false }	[ { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/63c8113f46421a2efe7f067e/UwMIYHvhA6FHS9e_oCoxd.mp4" } ]	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/62ea1ac3cc08a09aa6d3ec95/_74xXYEYLLjNVJ9zQucfn.jpeg", "fullname": "Maarten Grootendorst", "name": "MaartenGr", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 22 } ]	[ { "reaction": "👍", "users": [ "ijohn07", "John6666", "edison1", "Chao2012", "rennokki" ], "count": 5 }, { "reaction": "❤️", "users": [ "Chao2012", "korkakak", "MaartenGr" ], "count": 3 }, { "reaction": "🔥", "users": [ "rennokki" ], "count": 1 } ]	2024-10-29T17:19:40.000Z	2024-10-29T17:19:40.815Z	[]	/posts/asoria/983173115465455	1,707	0
537208389434706	[ { "type": "text", "value": "🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! ", "raw": "🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism.", "raw": "AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "A perfect blend of tech & journalism. ", "raw": "A perfect blend of tech & journalism. ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones.", "raw": " The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Read the article: ", "raw": "Read the article: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share", "href": "https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism. A perfect blend of tech & journalism. The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones. Read the article: https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/647f36a8454af0237bd49574/jshkqBUTY-GZL8As8y6Aq.jpeg", "fullname": "Florent Daudens", "name": "fdaudens", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 345, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/647f36a8454af0237bd49574/OhMA2ILRavy8A7uDVWKRX.png" } ]	[]	[ { "reaction": "👍", "users": [ "Aurelien-Morgan", "John6666", "io2", "OmbelineM", "wsuff", "KhalilGuetari", "owao" ], "count": 7 } ]	2024-10-29T15:01:36.000Z	2024-10-29T15:01:36.501Z	[]	/posts/fdaudens/537208389434706	2,241	0
678596211391072	[ { "type": "text", "value": "🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊", "raw": "🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/open-llm-leaderboard/comparator", "href": null, "resource": { "type": "space", "id": "open-llm-leaderboard/comparator", "discussionNum": null }, "url": "https://huggingface.co/spaces/open-llm-leaderboard/comparator", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?", "raw": "Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊 https://huggingface.co/spaces/open-llm-leaderboard/comparator Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1606406298765-noauth.jpeg", "fullname": "Albert Villanova", "name": "albertvillanova", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 191, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/5fbfd09ee366524fe8e97cd3/it4O5uOk8lgsHhpYgv_PF.png" }, { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/5fbfd09ee366524fe8e97cd3/cw1UlAXRymdFUt9D4BPMR.png" } ]	[]	[ { "reaction": "🚀", "users": [ "prithivMLmods", "Bash9", "fdaudens", "helloAI333", "John6666", "alielfilali01", "averoo" ], "count": 7 }, { "reaction": "❤️", "users": [ "awacke1", "reach-vb", "Manel", "alielfilali01", "octoplanet", "averoo" ], "count": 6 }, { "reaction": "🔥", "users": [ "reach-vb" ], "count": 1 }, { "reaction": "👍", "users": [ "ijohn07" ], "count": 1 } ]	2024-10-29T10:12:10.000Z	2024-10-29T10:12:10.111Z	[]	/posts/albertvillanova/678596211391072	3,017	0
798128872483893	[ { "type": "text", "value": "New Dataset: Software-Architecture", "raw": "New Dataset: Software-Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Link: ", "raw": "Link: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/ajibawa-2023/Software-Architecture", "href": null, "resource": { "type": "dataset", "id": "ajibawa-2023/Software-Architecture", "discussionNum": null }, "url": "https://huggingface.co/datasets/ajibawa-2023/Software-Architecture", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.", "raw": "I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I have included following topics:", "raw": "I have included following topics:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Frameworks", "raw": "Architectural Frameworks", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Patterns for Reliability", "raw": "Architectural Patterns for Reliability", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, 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"url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Views", "raw": "Architectural Views", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Decision-Making", "raw": "Architectural Decision-Making", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": 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"url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Component-Based Architecture", "raw": "Component-Based Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Data Architecture", "raw": "Data Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, 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"raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "and Many More!", "raw": "and Many More!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.", "raw": "This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This dataset is very useful to Researchers as well.", "raw": "This dataset is very useful to Researchers as well.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	New Dataset: Software-Architecture Link: https://huggingface.co/datasets/ajibawa-2023/Software-Architecture I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl. I have included following topics: Architectural Frameworks Architectural Patterns for Reliability Architectural Patterns for Scalability Architectural Patterns Architectural Quality Attributes Architectural Testing Architectural Views Architectural Decision-Making Advanced Research Cloud-Based Architectures Component-Based Architecture Data Architecture Emerging Trends Event-Driven Architecture Evolvability and Maintainability Microservices and Monolithic Microservices Architecture Security Architecture Service-Oriented Architecture Software Design Principles and Many More! This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful. This dataset is very useful to Researchers as well.	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/64aea8ff67511bd3d965697b/Jxn52EmDF5RApJh8antxn.jpeg", "fullname": "Feynman Innovations", "name": "ajibawa-2023", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 136, "isFollowing": false }	[]	[]	[ { "reaction": "🚀", "users": [ "ajibawa-2023", "a9i", "KvrParaskevi", "Tanvir1337", "prithivMLmods" ], "count": 5 }, { "reaction": "❤️", "users": [ "ajibawa-2023", "a9i", "KvrParaskevi", "awacke1", "DeFactOfficial" ], "count": 5 }, { "reaction": "👀", "users": [ "ajibawa-2023", "idoo0", "John6666" ], "count": 3 }, { "reaction": "🔥", "users": [ "ajibawa-2023", "acailic" ], "count": 2 }, { "reaction": "👍", "users": [ "ajibawa-2023" ], "count": 1 } ]	2024-10-29T06:45:11.000Z	2024-10-30T06:47:27.070Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1656147940537-620630b603825909dcbeba35.jpeg", "fullname": "Aaron C Wacker", "name": "awacke1", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 183, "isFollowing": false }, { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/64aea8ff67511bd3d965697b/Jxn52EmDF5RApJh8antxn.jpeg", "fullname": "Feynman Innovations", "name": "ajibawa-2023", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 136, "isFollowing": false }, { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/RhP7T-AlAn5Y-08gaCUcU.jpeg", "fullname": "Sam Rahimi", "name": "DeFactOfficial", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 12, "isFollowing": false } ]	/posts/ajibawa-2023/798128872483893	2,845	4
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We publish blog posts, research papers, stories of side hustles, you name it.", "raw": " Cash prizes for innovative approaches to AI and LLM training. We publish blog posts, research papers, stories of side hustles, you name it.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Any story tagged #AI enters to win. Most recent stories: ", "raw": "Any story tagged #AI enters to win. 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We publish blog posts, research papers, stories of side hustles, you name it. Any story tagged #AI enters to win. Most recent stories: https://hackernoon.com/tagged/ai and RSS feed https://hackernoon.com/tagged/ai/feed Couple of favorite recent posts we published: Why Salesforce and Microsoft Are Battling for the Future of AI Agents https://hackernoon.com/why-salesforce-and-microsoft-are-battling-for-the-future-of-ai-agents Decentralized AI Summit at MIT Votes OriginTrail As The Best Decentralized AI Project https://hackernoon.com/decentralized-ai-summit-at-mit-votes-origintrail-as-the-best-decentralized-ai-project Studying is Overrated https://hackernoon.com/studying-is-overrated Why Can’t AI Count Letters??? https://hackernoon.com/why-cant-ai-count-letters The Paradox of AI: If It Can't Replace us, Is It Making Us Dumber? https://hackernoon.com/the-paradox-of-ai-if-it-cant-replace-us-is-it-making-us-dumber How Does Human Memory Work? https://hackernoon.com/how-does-human-memory-work Is AI Actually Writing Production-Ready Code? https://hackernoon.com/is-ai-actually-writing-production-ready-code Our AI Coding Tool Went Viral, Then Everything Broke. This is What We Learned. https://hackernoon.com/our-ai-coding-tool-went-viral-then-everything-broke-this-is-what-we-learned Startups of The Year: Meet the AI Industry https://hackernoon.com/startups-of-the-year-meet-the-ai-industry Nobel Prize Winner Geoffrey Hinton Explores Two Paths to Intelligence in AI Lecture https://hackernoon.com/nobel-prize-winner-geoffrey-hinton-explores-two-paths-to-intelligence-in-ai-lecture Comparing AI vs. Blockchain Hype https://hackernoon.com/comparing-ai-vs-blockchain-hype The SaaS Apocalypse and How aI Will Give Birth to One-person Tech Giants https://hackernoon.com/the-saas-apocalypse-and-how-ai-wi	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/64862a25cf5ad5e1f0482ef2/61qPUtw9jIl7zpPYmi0VW.jpeg", "fullname": "David Smooke", "name": "Smooke", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 42, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/64862a25cf5ad5e1f0482ef2/oV1RD0QWAK6lSw2eS8H3p.png" } ]	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/OGMeUsqLNml6Mg5Ow5dp7.png", "fullname": "Bright Data", "name": "BrightData", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 1 } ]	[ { "reaction": "👀", "users": [ "John6666", "victor", "OmbelineM" ], "count": 3 } ]	2024-10-28T22:50:19.000Z	2024-10-28T22:50:19.651Z	[]	/posts/Smooke/787850885295330	1,834	0
852656118525688	[ { "type": "text", "value": "🚀🕺🌟 New Research Alert (Avatars Collection)! 🌟💃🚀", "raw": "🚀🕺🌟 New Research Alert (Avatars Collection)! 🌟💃🚀", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📄 Title: Expressive Gaussian Human Avatars from Monocular RGB Video 🔝", "raw": "📄 Title: Expressive Gaussian Human Avatars from Monocular RGB Video 🔝", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📝 Description: The new EVA model enhances the expressiveness of digital avatars by using 3D Gaussians and SMPL-X to capture fine-grained hand and face details from monocular RGB video.", "raw": "📝 Description: The new EVA model enhances the expressiveness of digital avatars by using 3D Gaussians and SMPL-X to capture fine-grained hand and face details from monocular RGB video.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "👥 Authors: Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, and Zhangyang Wang", "raw": "👥 Authors: Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, and Zhangyang Wang", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2407.03204", "href": null, "resource": { "type": "paper", "id": "2407.03204", "discussionNum": null }, "url": "https://huggingface.co/papers/2407.03204", "lang": null, "code": null, "label": "Expressive Gaussian Human Avatars from Monocular RGB Video (2407.03204)", "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🌐 Github Page: ", "raw": "🌐 Github Page: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://evahuman.github.io/", "href": "https://evahuman.github.io/", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📁 Repository: ", "raw": "📁 Repository: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/evahuman/EVA", "href": "https://github.com/evahuman/EVA", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🚀 CVPR-2023-24-Papers: ", "raw": "🚀 CVPR-2023-24-Papers: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "href": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, 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"resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🚀 Added to the Avatars Collection: ", "raw": "🚀 Added to the Avatars Collection: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "href": null, "resource": { "type": "collection", "id": "DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "discussionNum": null }, "url": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔍 Keywords: #DigitalAvatars #3DModeling #ComputerVision #MonocularVideo #SMPLX #3DGaussians #AvatarExpressiveness #HandTracking #FacialExpressions #AI #MachineLearning", "raw": "🔍 Keywords: #DigitalAvatars #3DModeling #ComputerVision #MonocularVideo #SMPLX #3DGaussians #AvatarExpressiveness #HandTracking #FacialExpressions #AI #MachineLearning", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	🚀🕺🌟 New Research Alert (Avatars Collection)! 🌟💃🚀 📄 Title: Expressive Gaussian Human Avatars from Monocular RGB Video 🔝 📝 Description: The new EVA model enhances the expressiveness of digital avatars by using 3D Gaussians and SMPL-X to capture fine-grained hand and face details from monocular RGB video. 👥 Authors: Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, and Zhangyang Wang 📄 Paper: https://huggingface.co/papers/2407.03204 🌐 Github Page: https://evahuman.github.io/ 📁 Repository: https://github.com/evahuman/EVA 🚀 CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers 🚀 WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers 🚀 ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers 📚 More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin 🚀 Added to the Avatars Collection: https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36 🔍 Keywords: #DigitalAvatars #3DModeling #ComputerVision #MonocularVideo #SMPLX #3DGaussians #AvatarExpressiveness #HandTracking #FacialExpressions #AI #MachineLearning	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/nRCxbVng_PPBqKd-Z3KVc.jpeg", "fullname": "Dmitry Ryumin", "name": "DmitryRyumin", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 374, "isFollowing": 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748763977309586	[ { "type": "text", "value": "Weclome to use MInference, which leverages the dynamic sparse nature of LLMs' attention, which exhibits some static patterns, to speed up the pre-filling for million tokens LLMs. It first determines offline which sparse pattern each head belongs to, then approximates the sparse index online and dynamically computes attention with the optimal custom kernels. This approach achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy with 1M tokens.", "raw": "Weclome to use MInference, which leverages the dynamic sparse nature of LLMs' attention, which exhibits some static patterns, to speed up the pre-filling for million tokens LLMs. It first determines offline which sparse pattern each head belongs to, then approximates the sparse index online and dynamically computes attention with the optimal custom kernels. 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This approach achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy with 1M tokens. For more detail please check, project page: https://aka.ms/MInference code: https://github.com/microsoft/MInference paper: https://huggingface.co/papers/2407.02490 hf demo: https://huggingface.co/spaces/microsoft/MInference	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6278bd42541f3d2dfa77ea70/ejn49eapnB3UXQckAYdTd.jpeg", "fullname": "Huiqiang Jiang", "name": "iofu728", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 6, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6278bd42541f3d2dfa77ea70/gTGs0_735_mcdTRaiIK04.png" }, { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/6278bd42541f3d2dfa77ea70/Ioja3GNfB5_aeqBwSCoSC.mp4" } ]	[]	[ { "reaction": "🔥", "users": [ "osanseviero" ], "count": 1 } ]	2024-07-04T17:53:43.000Z	2024-07-04T17:54:47.262Z	[]	/posts/iofu728/748763977309586	1,067	0
328881196495518	[ { "type": "text", "value": "New dataset filtering feature just dropped! 🤗🚀", "raw": "New dataset filtering feature just dropped! 🤗🚀", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Find exactly what you need with filters for:", "raw": "Find exactly what you need with filters for:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Modalities (text, image, audio, etc.)", "raw": "- Modalities (text, image, audio, etc.)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Dataset size", "raw": "- Dataset size", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- File format", "raw": "- File format", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Try it now: ", "raw": "Try it now: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/datasets", "href": "https://huggingface.co/datasets", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "What other filters would you find useful? Drop your ideas!", "raw": "What other filters would you find useful? Drop your ideas!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	New dataset filtering feature just dropped! 🤗🚀 Find exactly what you need with filters for: - Modalities (text, image, audio, etc.) - Dataset size - File format Try it now: https://huggingface.co/datasets What other filters would you find useful? Drop your ideas!	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/647f36a8454af0237bd49574/jshkqBUTY-GZL8As8y6Aq.jpeg", "fullname": "Florent Daudens", "name": "fdaudens", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 345, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/647f36a8454af0237bd49574/SaRgjPdKJ6Apbj5AsgmAJ.png" } ]	[]	[ { "reaction": "🔥", "users": [ "osanseviero", "louisbrulenaudet" ], "count": 2 } ]	2024-07-04T16:07:28.000Z	2024-07-04T16:07:28.663Z	[]	/posts/fdaudens/328881196495518	989	0
936208234528035	[ { "type": "text", "value": "Hi ", "raw": "Hi ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@jonoirwin", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "jonoirwin" }, { "type": "text", "value": "! Big fan of ", "raw": "! Big fan of ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://fastvoiceagent.cerebrium.ai/", "href": "https://fastvoiceagent.cerebrium.ai/", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " 🔥", "raw": " 🔥", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I'd be super happy to give you a GPU grant to host it on a Space, it would allow more people to discover and use it!", "raw": "I'd be super happy to give you a GPU grant to host it on a Space, it would allow more people to discover and use it!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	Hi @jonoirwin! Big fan of https://fastvoiceagent.cerebrium.ai/ 🔥 I'd be super happy to give you a GPU grant to host it on a Space, it would allow more people to discover and use it!	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/5f17f0a0925b9863e28ad517/X7QKoiXbUtEZSG9jyvfk3.jpeg", "fullname": "Victor Mustar", "name": "victor", "type": "user", "isPro": true, "isHf": true, "isMod": false, "followerCount": 2560, "isFollowing": false }	[]	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6053304d6fba06edcab84e1b/5LACUZUCASJWCYlov34ie.jpeg", "fullname": "Jonathan Irwin", "name": "jonoirwin", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 4 } ]	[ { "reaction": "❤️", "users": [ "lunarflu", "RakshitAralimatti", "nyuuzyou", "Inflammable1230" ], "count": 4 } ]	2024-07-04T13:13:13.000Z	2024-07-04T13:17:16.379Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/5f17f0a0925b9863e28ad517/X7QKoiXbUtEZSG9jyvfk3.jpeg", "fullname": "Victor Mustar", "name": "victor", "type": "user", "isPro": true, "isHf": true, "isMod": false, "followerCount": 2560, "isFollowing": false } ]	/posts/victor/936208234528035	2,207	1
553468971807366	[ { "type": "text", "value": "I've created a space for chatting with Gemma 2 using llama.cpp", "raw": "I've created a space for chatting with Gemma 2 using llama.cpp", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 🎛️ Choose between 27B IT and 9b IT models", "raw": "- 🎛️ Choose between 27B IT and 9b IT models", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 🚀 Fast inference using llama.cpp", "raw": "- 🚀 Fast inference using llama.cpp", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/gokaygokay/Gemma-2-llamacpp", "href": null, "resource": { "type": "space", "id": "gokaygokay/Gemma-2-llamacpp", "discussionNum": null }, "url": "https://huggingface.co/spaces/gokaygokay/Gemma-2-llamacpp", "lang": null, "code": null, "label": null, "user": null } ]	I've created a space for chatting with Gemma 2 using llama.cpp - 🎛️ Choose between 27B IT and 9b IT models - 🚀 Fast inference using llama.cpp - https://huggingface.co/spaces/gokaygokay/Gemma-2-llamacpp	{ "avatarUrl": "/avatars/b9a6d8e11ec7a62ca2b819e0b6c37222.svg", "fullname": "gokay aydogan", "name": "gokaygokay", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 1079, "isFollowing": false }	[]	[]	[ { "reaction": "👍", "users": [ "John6666", "merterbak", "victor", "lunarflu", "thethinkmachine", "osanseviero", "ggerganov", "juancopi81", "ucsahin", "nedegilefendim", "Metin" ], "count": 11 } ]	2024-07-04T11:16:41.000Z	2024-07-05T07:13:35.759Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6032802e1f993496bc14d9e3/w6hr-DEQot4VVkoyRIBiy.png", "fullname": "Omar Sanseviero", "name": "osanseviero", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2833, "isFollowing": false } ]	/posts/gokaygokay/553468971807366	4,049	1
556266456592988	[ { "type": "mention", "value": null, "raw": "@Omartificial-Intelligence-Space", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "Omartificial-Intelligence-Space" }, { "type": "text", "value": " has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! ", "raw": " has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: ", "raw": "📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet", "href": null, "resource": { "type": "dataset", "id": "Omartificial-Intelligence-Space/Arabic-NLi-Triplet", "discussionNum": null }, "url": "https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.", "raw": "6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.", "raw": "🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📈 Outperforms all commonly used multilingual models like ", "raw": "📈 Outperforms all commonly used multilingual models like ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/intfloat/multilingual-e5-large", "href": null, "resource": { "type": "model", "id": "intfloat/multilingual-e5-large", "discussionNum": null }, "url": "https://huggingface.co/intfloat/multilingual-e5-large", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ", ", "raw": ", ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "href": null, "resource": { "type": "model", "id": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "discussionNum": null }, "url": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ", and ", "raw": ", and ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sentence-transformers/LaBSE", "href": null, "resource": { "type": "model", "id": "sentence-transformers/LaBSE", "discussionNum": null }, "url": "https://huggingface.co/sentence-transformers/LaBSE", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Check them out here:", "raw": "Check them out here:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-labse-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Or the collection with all: ", "raw": "Or the collection with all: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e", "href": null, "resource": { "type": "collection", "id": "Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e", "discussionNum": null }, "url": "https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "My personal favourite is likely ", "raw": "My personal favourite is likely ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ": a very efficient 135M parameters & scores #1 on ", "raw": ": a very efficient 135M parameters & scores #1 on ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/mteb/leaderboard", "href": null, "resource": { "type": "space", "id": "mteb/leaderboard", "discussionNum": null }, "url": "https://huggingface.co/spaces/mteb/leaderboard", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	@Omartificial-Intelligence-Space has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! 📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet 6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters. 🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare. 📈 Outperforms all commonly used multilingual models like https://huggingface.co/intfloat/multilingual-e5-large, https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2, and https://huggingface.co/sentence-transformers/LaBSE. Check them out here: - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet Or the collection with all: https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e My personal favourite is likely https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka: a very efficient 135M parameters & scores #1 on https://huggingface.co/spaces/mteb/leaderboard.	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/6317233cc92fd6fee317e030/cJHSvvimr1kqgQfHOjO5n.png", "fullname": "Tom Aarsen", "name": "tomaarsen", "type": "user", "isPro": false, "isHf": true, "isMod": false, "followerCount": 1020, "isFollowing": false }	[ { "type": "image", "url": "https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/w1hbfbtyAoQmbX4QkbpaU.png" } ]	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/628f7a71dd993507cfcbe587/axTPMW0icrI0XNyK7Z5mw.png", "fullname": "Omartificial Intelligence Space", "name": "Omartificial-Intelligence-Space", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 29 } ]	[ { "reaction": "🔥", "users": [ "urchade", "merterbak", "victor", "not-lain", "Omartificial-Intelligence-Space", "lunarflu", "osanseviero" ], "count": 7 }, { "reaction": "👍", "users": [ "Norod78", "not-lain" ], "count": 2 } ]	2024-07-04T10:40:53.000Z	2024-07-04T11:15:45.607Z	[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/628f7a71dd993507cfcbe587/axTPMW0icrI0XNyK7Z5mw.png", "fullname": "Omartificial Intelligence Space", "name": "Omartificial-Intelligence-Space", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 29, "isFollowing": false } ]	/posts/tomaarsen/556266456592988	3,887	1
959222127501845	[ { "type": "text", "value": "I really like what the ", "raw": "I really like what the ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@jasperAITeam", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "jasperAITeam" }, { "type": "text", "value": " designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising.", "raw": " designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I put together my own page of models using their code and LoRA. Enjoy!", "raw": "I put together my own page of models using their code and LoRA. Enjoy!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/alvdansen/flash-lora-araminta-k-styles", "href": null, "resource": { "type": "space", "id": "alvdansen/flash-lora-araminta-k-styles", "discussionNum": null }, "url": "https://huggingface.co/spaces/alvdansen/flash-lora-araminta-k-styles", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]	I really like what the @jasperAITeam designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising. I put together my own page of models using their code and LoRA. Enjoy! https://huggingface.co/spaces/alvdansen/flash-lora-araminta-k-styles	{ "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/635dd6cd4fabde0df74aeae6/23c0uEOr7RWDtSLDBzkPD.png", "fullname": "araminta_k", "name": "alvdansen", "type": "user", "isPro": true, "isHf": false, "isMod": false, "followerCount": 493, "isFollowing": false }	[]	[ { "avatarUrl": "/avatars/21e4819444ea5449ea30d7c37e27c6db.svg", "fullname": "Jasper AI Team", "name": "jasperAITeam", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": 2 } ]	[ { "reaction": "❤️", "users": [ "ZeroWw", "osanseviero" ], "count": 2 } ]	2024-07-04T08:56:02.000Z	2024-07-04T08:56:02.253Z	[]	/posts/alvdansen/959222127501845	2,968	0

359592864363961

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https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-demo

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[]

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2024-11-12T07:48:59.000Z

2024-11-12T07:48:59.475Z

[]

/posts/ariG23498/359592864363961

1,806

0

341606281497201

[ { "type": "text", "value": "New adapt.s for dev 🍔", "raw": "New adapt.s for dev 🍔", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " Hosted -> ", "raw": " Hosted -> ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC", "href": null, "resource": { "type": "space", "id": "prithivMLmods/FLUX-LoRA-DLC", "discussionNum": null }, "url": "https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Teen Outfit: ", "raw": "✨Teen Outfit: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Teen-Outfit", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Teen-Outfit", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Teen-Outfit", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Dark Pink: ", "raw": "✨Dark Pink: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Dark-Thing-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Shadow Projection: ", "raw": "✨Shadow Projection: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Shadow-Projection-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Shadow-Projection-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Shadow-Projection-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Abstract Cartoon: ", "raw": "✨Abstract Cartoon: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Abstract-Cartoon-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Abstract-Cartoon-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Abstract-Cartoon-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Street Bokeh: ", "raw": "✨Street Bokeh: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Street-Bokeh-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Street-Bokeh-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Street-Bokeh-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Fine Detailed: ", "raw": "✨Fine Detailed: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Flux-Realism-FineDetailed", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Flux-Realism-FineDetailed", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Flux-Realism-FineDetailed", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Bold Shadows: ", "raw": "✨Bold Shadows: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Bold-Shadows-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Bold-Shadows-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Bold-Shadows-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨Yellow Laser: ", "raw": "✨Yellow Laser: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Yellow-Laser-Flux-LoRA", "href": null, "resource": { "type": "model", "id": "prithivMLmods/Yellow-Laser-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Yellow-Laser-Flux-LoRA", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "------------", "raw": "------------", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🎉LoRA Collection: ", "raw": "🎉LoRA Collection: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be", "href": null, "resource": { "type": "collection", "id": "prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be", "discussionNum": null }, "url": "https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🎉LoRA Spaces: ", "raw": "🎉LoRA Spaces: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32", "href": null, "resource": { "type": "collection", "id": "prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32", "discussionNum": null }, "url": 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New adapt.s for dev 🍔 Hosted -> https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC ✨Teen Outfit: https://huggingface.co/prithivMLmods/Teen-Outfit ✨Dark Pink: https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA ✨Shadow Projection: https://huggingface.co/prithivMLmods/Shadow-Projection-Flux-LoRA ✨Abstract Cartoon: https://huggingface.co/prithivMLmods/Abstract-Cartoon-Flux-LoRA ✨Street Bokeh: https://huggingface.co/prithivMLmods/Street-Bokeh-Flux-LoRA ✨Fine Detailed: https://huggingface.co/prithivMLmods/Flux-Realism-FineDetailed ✨Bold Shadows: https://huggingface.co/prithivMLmods/Bold-Shadows-Flux-LoRA ✨Yellow Laser: https://huggingface.co/prithivMLmods/Yellow-Laser-Flux-LoRA ------------ 🎉LoRA Collection: https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be 🎉LoRA Spaces: https://huggingface.co/collections/prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32 ------------ . . .@prithivMLmods 🤗

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2024-11-12T06:00:02.000Z

2024-11-12T06:00:02.737Z

[]

/posts/prithivMLmods/341606281497201

2,470

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981432338142461

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Sharing a new space to test out ViTPose, a pose estimation model using Visual Transformers. [ViTPose Playground](https://huggingface.co/spaces/Dref360/vit_pose_playground) This model will be available in `transformers` once [#30530](https://github.com/huggingface/transformers/pull/30530) is merged. Huge shoutout to @nielsr and @danelcsb for bringing this to HF! Here's the result on my Ken Halloween costume.

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2024-11-11T21:55:48.000Z

2024-11-12T01:24:36.235Z

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/posts/Dref360/981432338142461

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[ { "type": "text", "value": "🤯 AI progress keeps blowing my mind! Just experienced Qwen's new Coder demo - built a complete flashcard web app with a single prompt. The results are incredible!", "raw": "🤯 AI progress keeps blowing my mind! Just experienced Qwen's new Coder demo - built a complete flashcard web app with a single prompt. The results are incredible!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This demo is part of the new Qwen2.5 Coder family (0.5B to 32B models), surpassing/matching GPT4o and Claude Sonnet 3.5 across multiple coding benchmarks.", "raw": "This demo is part of the new Qwen2.5 Coder family (0.5B to 32B models), surpassing/matching GPT4o and Claude Sonnet 3.5 across multiple coding benchmarks.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 128K context window for 14B/32B models ", "raw": "- 128K context window for 14B/32B models ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Drop-in replacement for GPT-4 in Cursor & Artifacts ", "raw": "- Drop-in replacement for GPT-4 in Cursor & Artifacts ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Models on the Hub under Apache 2.0 license", "raw": "- Models on the Hub under Apache 2.0 license", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔗 Try it yourself: ", "raw": "🔗 Try it yourself: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "href": null, "resource": { "type": "space", "id": "Qwen/Qwen2.5-Coder-Artifacts", "discussionNum": null }, "url": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This is democratization of coding in real-time. Excited to see AI tools becoming more capable and accessible.", "raw": "This is democratization of coding in real-time. Excited to see AI tools becoming more capable and accessible.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "What would you build with this? Share your ideas below! 👇", "raw": "What would you build with this? Share your ideas below! 👇", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "#AI #Programming #TechInnovation #OpenSource #SoftwareDevelopment", "raw": "#AI #Programming #TechInnovation #OpenSource #SoftwareDevelopment", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

🤯 AI progress keeps blowing my mind! Just experienced Qwen's new Coder demo - built a complete flashcard web app with a single prompt. The results are incredible! This demo is part of the new Qwen2.5 Coder family (0.5B to 32B models), surpassing/matching GPT4o and Claude Sonnet 3.5 across multiple coding benchmarks. - 128K context window for 14B/32B models - Drop-in replacement for GPT-4 in Cursor & Artifacts - Models on the Hub under Apache 2.0 license 🔗 Try it yourself: https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts This is democratization of coding in real-time. Excited to see AI tools becoming more capable and accessible. What would you build with this? Share your ideas below! 👇 #AI #Programming #TechInnovation #OpenSource #SoftwareDevelopment

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2024-11-11T21:22:17.000Z

2024-11-13T08:06:53.555Z

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/posts/fdaudens/683667017155458

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391290114296515

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Unique song ID, audio/video URLs, and thumbnail images", "raw": " - Unique song ID, audio/video URLs, and thumbnail images", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - AI model version and generation parameters", "raw": " - AI model version and generation parameters", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - Song metadata (tags, prompts, duration)", "raw": " - Song metadata (tags, prompts, duration)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - Creator information and engagement metrics", "raw": " - Creator information and engagement metrics", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Released to the public domain under Creative Commons Zero (CC0) license", "raw": "- Released to the public domain under Creative Commons Zero (CC0) license", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for:", "raw": "The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Music generation model training", "raw": "- Music generation model training", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Cross-modal analysis (text-to-audio relationships)", "raw": "- Cross-modal analysis (text-to-audio relationships)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- User engagement studies", "raw": "- User engagement studies", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Audio classification tasks", "raw": "- Audio classification tasks", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Music style and genre analysis", "raw": "- Music style and genre analysis", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

🎵 Introducing Suno Music Generation Dataset - https://huggingface.co/datasets/nyuuzyou/suno Dataset highlights: - 659,788 AI-generated music samples with comprehensive metadata from suno.com - Multilingual content with English as primary language, including Japanese and other languages - Each entry contains rich metadata including: - Unique song ID, audio/video URLs, and thumbnail images - AI model version and generation parameters - Song metadata (tags, prompts, duration) - Creator information and engagement metrics - Released to the public domain under Creative Commons Zero (CC0) license The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for: - Music generation model training - Cross-modal analysis (text-to-audio relationships) - User engagement studies - Audio classification tasks - Music style and genre analysis

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[]

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2024-11-11T19:08:36.000Z

2024-11-11T19:08:36.326Z

[]

/posts/nyuuzyou/391290114296515

1,908

0

657270848213422

[ { "type": "text", "value": "𝗤𝘄𝗲𝗻𝟮.𝟱-𝗖𝗼𝗱𝗲𝗿-𝟯𝟮𝗕: 𝗻𝗲𝘄 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝗼𝗽𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, 𝗯𝗲𝗮𝘁𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗼𝗻 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀!💥", "raw": "𝗤𝘄𝗲𝗻𝟮.𝟱-𝗖𝗼𝗱𝗲𝗿-𝟯𝟮𝗕: 𝗻𝗲𝘄 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝗼𝗽𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, 𝗯𝗲𝗮𝘁𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗼𝗻 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀!💥", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "💪 It's the first time Open-Source coding model of this size class that clearly matches GPT-4o's coding capabilities!", "raw": "💪 It's the first time Open-Source coding model of this size class that clearly matches GPT-4o's coding capabilities!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✨ Completes the previous two Qwen 2.5 Coder release with 4 new size: 0.5B, 3B, 14B, 32B", "raw": "✨ Completes the previous two Qwen 2.5 Coder release with 4 new size: 0.5B, 3B, 14B, 32B", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📚 Support long context up to 128K (for the 14B and 32B models)", "raw": "📚 Support long context up to 128K (for the 14B and 32B models)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✅ Drop-in replacement to GPT-4o as a coding assistant on Cursor or for Artifacts!", "raw": "✅ Drop-in replacement to GPT-4o as a coding assistant on Cursor or for Artifacts!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🤗 Models available right now on the Hub, under Apache 2.0 license!", "raw": "🤗 Models available right now on the Hub, under Apache 2.0 license!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "They have setup a crazy Artifacts demo, you should go have a look!", "raw": "They have setup a crazy Artifacts demo, you should go have a look!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "👉 ", "raw": "👉 ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "href": null, "resource": { "type": "space", "id": "Qwen/Qwen2.5-Coder-Artifacts", "discussionNum": null }, "url": "https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts", "lang": null, "code": null, "label": null, "user": null } ]

𝗤𝘄𝗲𝗻𝟮.𝟱-𝗖𝗼𝗱𝗲𝗿-𝟯𝟮𝗕: 𝗻𝗲𝘄 𝗯𝗲𝘀𝘁-𝗶𝗻-𝗰𝗹𝗮𝘀𝘀 𝗼𝗽𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹, 𝗯𝗲𝗮𝘁𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗼𝗻 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀!💥 💪 It's the first time Open-Source coding model of this size class that clearly matches GPT-4o's coding capabilities! ✨ Completes the previous two Qwen 2.5 Coder release with 4 new size: 0.5B, 3B, 14B, 32B 📚 Support long context up to 128K (for the 14B and 32B models) ✅ Drop-in replacement to GPT-4o as a coding assistant on Cursor or for Artifacts! 🤗 Models available right now on the Hub, under Apache 2.0 license! They have setup a crazy Artifacts demo, you should go have a look! 👉 https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts

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2024-11-11T18:33:40.000Z

2024-11-11T18:33:40.664Z

[]

/posts/m-ric/657270848213422

2,573

0

254681486405618

[ { "type": "text", "value": "𝗔𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝘄𝘀 𝗼𝘃𝗲𝗿? 𝗔 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗮𝘁 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘀𝗲𝗲𝗶𝗻𝗴 𝗱𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗲𝘁𝘂𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗚𝗣𝗧 𝗺𝗼𝗱𝗲𝗹𝘀.", "raw": "𝗔𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝘄𝘀 𝗼𝘃𝗲𝗿? 𝗔 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗮𝘁 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘀𝗲𝗲𝗶𝗻𝗴 𝗱𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗲𝘁𝘂𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗚𝗣𝗧 𝗺𝗼𝗱𝗲𝗹𝘀.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📊 What are scaling laws? These are empiric laws that say \"Every time you increase compute spent in training 10-fold, your LLM's performance will go up by a predictable tick\". Of course, they apply only if you train your model with the right methods.", "raw": "📊 What are scaling laws? These are empiric laws that say \"Every time you increase compute spent in training 10-fold, your LLM's performance will go up by a predictable tick\". Of course, they apply only if you train your model with the right methods.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The image below illustrates it: they're from a paper by Google, \"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation\", and they show how quality and instruction following of models improve when you scale the model up (which is equivalent to scaling up the compute spent in training).", "raw": "The image below illustrates it: they're from a paper by Google, \"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation\", and they show how quality and instruction following of models improve when you scale the model up (which is equivalent to scaling up the compute spent in training).", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "➡️ These scaling laws have immense impact: they triggered the largest gold rush ever, with companies pouring billions into scaling up theiur training. Microsoft and OpenAI spent 100B into their \"Startgate\" mega training cluster, due to start running in 2028.", "raw": "➡️ These scaling laws have immense impact: they triggered the largest gold rush ever, with companies pouring billions into scaling up theiur training. Microsoft and OpenAI spent 100B into their \"Startgate\" mega training cluster, due to start running in 2028.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🤔 So, what about these reports of scaling laws slowing down?", "raw": "🤔 So, what about these reports of scaling laws slowing down?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "If they are true, they would mean a gigantic paradigm shift, as the hundreds of billions poured by AI companies into scaling could be a dead-end. ⛔️", "raw": "If they are true, they would mean a gigantic paradigm shift, as the hundreds of billions poured by AI companies into scaling could be a dead-end. ⛔️", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "But I doubt it: until the most recent publications, scaling laws showed no signs of weakness, and the researchers at the higher end of the scale-up seems to imply the scaling up continues. ", "raw": "But I doubt it: until the most recent publications, scaling laws showed no signs of weakness, and the researchers at the higher end of the scale-up seems to imply the scaling up continues. ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Wait and see!", "raw": "Wait and see!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

𝗔𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝘄𝘀 𝗼𝘃𝗲𝗿? 𝗔 𝗿𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗮𝘁 𝗢𝗽𝗲𝗻𝗔𝗜 𝗶𝘀 𝘀𝗲𝗲𝗶𝗻𝗴 𝗱𝗶𝗺𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗲𝘁𝘂𝗿𝗻𝘀 𝗳𝗿𝗼𝗺 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗚𝗣𝗧 𝗺𝗼𝗱𝗲𝗹𝘀. 📊 What are scaling laws? These are empiric laws that say "Every time you increase compute spent in training 10-fold, your LLM's performance will go up by a predictable tick". Of course, they apply only if you train your model with the right methods. The image below illustrates it: they're from a paper by Google, "Scaling Autoregressive Models for Content-Rich Text-to-Image Generation", and they show how quality and instruction following of models improve when you scale the model up (which is equivalent to scaling up the compute spent in training). ➡️ These scaling laws have immense impact: they triggered the largest gold rush ever, with companies pouring billions into scaling up theiur training. Microsoft and OpenAI spent 100B into their "Startgate" mega training cluster, due to start running in 2028. 🤔 So, what about these reports of scaling laws slowing down? If they are true, they would mean a gigantic paradigm shift, as the hundreds of billions poured by AI companies into scaling could be a dead-end. ⛔️ But I doubt it: until the most recent publications, scaling laws showed no signs of weakness, and the researchers at the higher end of the scale-up seems to imply the scaling up continues. Wait and see!

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[]

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2024-11-11T17:51:50.000Z

2024-11-13T08:35:45.216Z

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/posts/m-ric/254681486405618

682

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444428540739993

[ { "type": "text", "value": "Best Debug Prompt ", "raw": "Best Debug Prompt ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.", "raw": "You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "For each potential failure:", "raw": "For each potential failure:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "1. What would make you say \"This app is totally broken!\"?", "raw": "1. What would make you say \"This app is totally broken!\"?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "2. What exact steps did you take when it broke?", "raw": "2. What exact steps did you take when it broke?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "3. What did you see on your screen when it broke?", "raw": "3. What did you see on your screen when it broke?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "4. How angry would this make a typical user (1-10)?", "raw": "4. How angry would this make a typical user (1-10)?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "5. What would you expect the app to do instead?", "raw": "5. What would you expect the app to do instead?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Think about:", "raw": "Think about:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What happens if you click buttons really fast?", "raw": "- What happens if you click buttons really fast?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if your internet is slow/disconnected?", "raw": "- What if your internet is slow/disconnected?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you upload weird files/images?", "raw": "- What if you upload weird files/images?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you try to break the app on purpose?", "raw": "- What if you try to break the app on purpose?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if multiple people use it at once?", "raw": "- What if multiple people use it at once?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you use it on mobile/tablet?", "raw": "- What if you use it on mobile/tablet?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you refresh/navigate while it's working?", "raw": "- What if you refresh/navigate while it's working?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you paste invalid inputs?", "raw": "- What if you paste invalid inputs?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you upload HUGE files?", "raw": "- What if you upload HUGE files?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- What if you leave it running overnight?", "raw": "- What if you leave it running overnight?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Don't worry about being technical - just describe what you saw break as a user.", "raw": "Don't worry about being technical - just describe what you saw break as a user.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Format each issue like:", "raw": "Format each issue like:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "ISSUE #1: [Brief angry user description]", "raw": "ISSUE #1: [Brief angry user description]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- STEPS TO BREAK IT: [Exactly what you did]", "raw": "- STEPS TO BREAK IT: [Exactly what you did]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- WHAT HAPPENED: [What you saw]", "raw": "- WHAT HAPPENED: [What you saw]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ANGER LEVEL: [1-10]", "raw": "- ANGER LEVEL: [1-10]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- EXPECTED: [What should happen]", "raw": "- EXPECTED: [What should happen]", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Keep going until you've found every possible way to break this app from a user's perspective!", "raw": "Keep going until you've found every possible way to break this app from a user's perspective!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)", "raw": "After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

Best Debug Prompt You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable. For each potential failure: 1. What would make you say "This app is totally broken!"? 2. What exact steps did you take when it broke? 3. What did you see on your screen when it broke? 4. How angry would this make a typical user (1-10)? 5. What would you expect the app to do instead? Think about: - What happens if you click buttons really fast? - What if your internet is slow/disconnected? - What if you upload weird files/images? - What if you try to break the app on purpose? - What if multiple people use it at once? - What if you use it on mobile/tablet? - What if you refresh/navigate while it's working? - What if you paste invalid inputs? - What if you upload HUGE files? - What if you leave it running overnight? Don't worry about being technical - just describe what you saw break as a user. Format each issue like: ISSUE #1: [Brief angry user description] - STEPS TO BREAK IT: [Exactly what you did] - WHAT HAPPENED: [What you saw] - ANGER LEVEL: [1-10] - EXPECTED: [What should happen] Keep going until you've found every possible way to break this app from a user's perspective! After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)

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[]

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2024-11-11T17:27:35.000Z

2024-11-11T17:27:35.284Z

[]

/posts/luigi12345/444428540739993

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232920597638334

[ { "type": "text", "value": "I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details:", "raw": "I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new ", "raw": "1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`export_static_quantized_openvino_model`", "href": null, "resource": null, "url": null, "lang": null, "code": "export_static_quantized_openvino_model", "label": null, "user": null }, { "type": "text", "value": " method to quantize a model.", "raw": " method to quantize a model.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "2. We add the option to train with prompts, e.g. strings like \"query: \", \"search_document: \" or \"Represent this sentence for searching relevant passages: \". It's as simple as using the ", "raw": "2. We add the option to train with prompts, e.g. strings like \"query: \", \"search_document: \" or \"Represent this sentence for searching relevant passages: \". It's as simple as using the ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`prompts`", "href": null, "resource": null, "url": null, "lang": null, "code": "prompts", "label": null, "user": null }, { "type": "text", "value": " argument in ", "raw": " argument in ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "inline_code", "value": null, "raw": "`SentenceTransformerTrainingArguments`", "href": null, "resource": null, "url": null, "lang": null, "code": "SentenceTransformerTrainingArguments", "label": null, "user": null }, { "type": "text", "value": ". Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding \"query: \" before each training query and \"document: \" before each training answer.", "raw": ". Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding \"query: \" before each training query and \"document: \" before each training answer.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model.", "raw": "3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks.", "raw": "4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: ", "raw": "Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0", "href": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details: 1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new `export_static_quantized_openvino_model` method to quantize a model. 2. We add the option to train with prompts, e.g. strings like "query: ", "search_document: " or "Represent this sentence for searching relevant passages: ". It's as simple as using the `prompts` argument in `SentenceTransformerTrainingArguments`. Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding "query: " before each training query and "document: " before each training answer. 3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model. 4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks. Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0

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2024-11-11T12:24:17.000Z

2024-11-11T12:24:33.295Z

[]

/posts/tomaarsen/232920597638334

3,955

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830550648952715

[ { "type": "text", "value": "Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.", "raw": "Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.

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2024-11-11T06:55:54.000Z

2024-11-12T22:46:51.468Z

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/posts/automatedstockminingorg/830550648952715

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534421532450932

[ { "type": "text", "value": "Excited to see my weird ", "raw": "Excited to see my weird ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/davanstrien/ufo-ColPali", "href": null, "resource": { "type": "dataset", "id": "davanstrien/ufo-ColPali", "discussionNum": null }, "url": "https://huggingface.co/datasets/davanstrien/ufo-ColPali", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " dataset featured in a video by ", "raw": " dataset featured in a video by ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@sabrinaesaquino", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "sabrinaesaquino" }, { "type": "text", "value": "! ", "raw": "! ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸", "raw": "The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Video: ", "raw": "Video: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz", "href": "https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Blog post: ", "raw": "Blog post: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html", "href": "https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

Excited to see my weird https://huggingface.co/datasets/davanstrien/ufo-ColPali dataset featured in a video by @sabrinaesaquino! The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸 Video: https://youtu.be/_A90A-grwIc?si=oB3JAhJG8VQUZGLz Blog post: https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html

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2024-10-30T14:02:34.000Z

2024-10-30T15:54:02.407Z

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/posts/davanstrien/534421532450932

2,407

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524165813731334

[ { "type": "text", "value": "NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here!", "raw": "NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Trained on high quality science-instruct, complex queries, and general chat data!", "raw": "- Trained on high quality science-instruct, complex queries, and general chat data!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Uses our newest datasets, ALL open-sourced for everyone to use!", "raw": "- Uses our newest datasets, ALL open-sourced for everyone to use!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "GET SV2 70B: ", "raw": "GET SV2 70B: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2", "href": null, "resource": { "type": "model", "id": "ValiantLabs/Llama3.1-70B-ShiningValiant2", "discussionNum": null }, "url": "https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Find the SV datasets here, including the expanded version of our science-instruct dataset:", "raw": "- Find the SV datasets here, including the expanded version of our science-instruct dataset:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - ", "raw": " - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Celestia", "href": null, "resource": { "type": "dataset", "id": "sequelbox/Celestia", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Celestia", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - ", "raw": " - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Spurline", "href": null, "resource": { "type": "dataset", "id": "sequelbox/Spurline", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Spurline", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " - ", "raw": " - ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Supernova", "href": null, "resource": { "type": "dataset", "id": "sequelbox/Supernova", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Supernova", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- SV2 8b and 3b will be updated with the new datasets soon!", "raw": "- SV2 8b and 3b will be updated with the new datasets soon!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Enjoy! :)", "raw": "Enjoy! :)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here! - Trained on high quality science-instruct, complex queries, and general chat data! - Uses our newest datasets, ALL open-sourced for everyone to use! GET SV2 70B: https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2 - Find the SV datasets here, including the expanded version of our science-instruct dataset: - https://huggingface.co/datasets/sequelbox/Celestia - https://huggingface.co/datasets/sequelbox/Spurline - https://huggingface.co/datasets/sequelbox/Supernova - SV2 8b and 3b will be updated with the new datasets soon! Enjoy! :)

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2024-10-30T13:13:59.000Z

2024-10-30T13:13:59.591Z

[]

/posts/sequelbox/524165813731334

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413388260975224

[ { "type": "text", "value": "Cybertron is back:", "raw": "Cybertron is back:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class.", "raw": "We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations.", "raw": "The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Enjoy it in the hub as usual:", "raw": "Enjoy it in the hub as usual:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS", "href": null, "resource": { "type": "model", "id": "fblgit/cybertron-v4-qw7B-MGS", "discussionNum": null }, "url": "https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS", "lang": null, "code": null, "label": null, "user": null } ]

Cybertron is back: We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class. The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations. Enjoy it in the hub as usual: https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS

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2024-10-30T10:47:02.000Z

2024-10-31T05:30:22.492Z

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/posts/fblgit/413388260975224

520

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346532636735144

[ { "type": "text", "value": "FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments", "raw": "FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Also Testing CFG Impact for Stylized Images on base FLUX DEV model", "raw": "Also Testing CFG Impact for Stylized Images on base FLUX DEV model", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Full size grids and full details shared here : ", "raw": "Full size grids and full details shared here : ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://www.patreon.com/posts/114969137", "href": "https://www.patreon.com/posts/114969137", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing", "raw": "The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments Also Testing CFG Impact for Stylized Images on base FLUX DEV model Full size grids and full details shared here : https://www.patreon.com/posts/114969137 The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing

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2024-10-29T23:48:36.000Z

2024-10-29T23:48:36.134Z

[]

/posts/MonsterMMORPG/346532636735144

2,575

0

975035590271872

[ { "type": "text", "value": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?", "raw": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Go from 🐢 -> 🐇", "raw": "Go from 🐢 -> 🐇", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "If you want a small model to perform well on your problem, you need to fine-tune it.", "raw": "If you want a small model to perform well on your problem, you need to fine-tune it.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Bootstrap with a teacher model.", "raw": "Bootstrap with a teacher model.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Correct potential mistakes to get high-quality data.", "raw": "Correct potential mistakes to get high-quality data.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Fine-tune your student model", "raw": "Fine-tune your student model", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Go more accurate and more efficient.", "raw": "Go more accurate and more efficient.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Free signup: ", "raw": "Free signup: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://lu.ma/zx2t7irs", "href": "https://lu.ma/zx2t7irs", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less? Go from 🐢 -> 🐇 If you want a small model to perform well on your problem, you need to fine-tune it. Bootstrap with a teacher model. Correct potential mistakes to get high-quality data. Fine-tune your student model Go more accurate and more efficient. Free signup: https://lu.ma/zx2t7irs

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2024-10-29T17:43:50.000Z

2024-10-29T17:44:14.561Z

[]

/posts/davidberenstein1957/975035590271872

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0

983173115465455

[ { "type": "text", "value": "🚀 Exploring Topic Modeling with BERTopic 🤖", "raw": "🚀 Exploring Topic Modeling with BERTopic 🤖", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "When you come across an interesting dataset, you often wonder:", "raw": "When you come across an interesting dataset, you often wonder:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Which topics frequently appear in these documents? 🤔", "raw": "Which topics frequently appear in these documents? 🤔", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "What is this data really about? 📊", "raw": "What is this data really about? 📊", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.", "raw": "Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗", "raw": "I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔍 How do we make this work?", "raw": "🔍 How do we make this work?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Here’s the stack we’re using:", "raw": "Here’s the stack we’re using:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval", "raw": "📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)", "raw": "🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance", "raw": "⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering", "raw": "🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "✂️ Tokenization ➡️ CountVectorizer", "raw": "✂️ Tokenization ➡️ CountVectorizer", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct", "raw": "🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🌍 Visualization ➡️ Datamapplot library", "raw": "🌍 Visualization ➡️ Datamapplot library", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Check out the space and see how you can quickly generate topics from your dataset: ", "raw": "Check out the space and see how you can quickly generate topics from your dataset: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/datasets-topics/topics-generator", "href": null, "resource": { "type": "space", "id": "datasets-topics/topics-generator", "discussionNum": null }, "url": "https://huggingface.co/spaces/datasets-topics/topics-generator", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Powered by ", "raw": "Powered by ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@MaartenGr", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "MaartenGr" }, { "type": "text", "value": " - BERTopic ", "raw": " - BERTopic ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

🚀 Exploring Topic Modeling with BERTopic 🤖 When you come across an interesting dataset, you often wonder: Which topics frequently appear in these documents? 🤔 What is this data really about? 📊 Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis. I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗 🔍 How do we make this work? Here’s the stack we’re using: 📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval 🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2) ⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance 🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering ✂️ Tokenization ➡️ CountVectorizer 🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct 🌍 Visualization ➡️ Datamapplot library Check out the space and see how you can quickly generate topics from your dataset: https://huggingface.co/spaces/datasets-topics/topics-generator Powered by @MaartenGr - BERTopic

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2024-10-29T17:19:40.000Z

2024-10-29T17:19:40.815Z

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[ { "type": "text", "value": "🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! ", "raw": "🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism.", "raw": "AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "A perfect blend of tech & journalism. ", "raw": "A perfect blend of tech & journalism. ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones.", "raw": " The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Read the article: ", "raw": "Read the article: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share", "href": "https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism. A perfect blend of tech & journalism. The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones. Read the article: https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share

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2024-10-29T15:01:36.000Z

2024-10-29T15:01:36.501Z

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/posts/fdaudens/537208389434706

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[ { "type": "text", "value": "🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊", "raw": "🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/open-llm-leaderboard/comparator", "href": null, "resource": { "type": "space", "id": "open-llm-leaderboard/comparator", "discussionNum": null }, "url": "https://huggingface.co/spaces/open-llm-leaderboard/comparator", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?", "raw": "Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊 https://huggingface.co/spaces/open-llm-leaderboard/comparator Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?

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2024-10-29T10:12:10.000Z

2024-10-29T10:12:10.111Z

[]

/posts/albertvillanova/678596211391072

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[ { "type": "text", "value": "New Dataset: Software-Architecture", "raw": "New Dataset: Software-Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Link: ", "raw": "Link: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/ajibawa-2023/Software-Architecture", "href": null, "resource": { "type": "dataset", "id": "ajibawa-2023/Software-Architecture", "discussionNum": null }, "url": "https://huggingface.co/datasets/ajibawa-2023/Software-Architecture", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.", "raw": "I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I have included following topics:", "raw": "I have included following topics:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Frameworks", "raw": "Architectural Frameworks", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Patterns for Reliability", "raw": "Architectural Patterns for Reliability", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Patterns for Scalability", "raw": "Architectural Patterns for Scalability", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Patterns", "raw": "Architectural Patterns", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Quality Attributes", "raw": "Architectural Quality Attributes", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Testing", "raw": "Architectural Testing", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Views", "raw": "Architectural Views", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Architectural Decision-Making", "raw": "Architectural Decision-Making", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Advanced Research", "raw": "Advanced Research", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Cloud-Based Architectures", "raw": "Cloud-Based Architectures", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Component-Based Architecture", "raw": "Component-Based Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Data Architecture", "raw": "Data Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Emerging Trends", "raw": "Emerging Trends", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Event-Driven Architecture", "raw": "Event-Driven Architecture", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, 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"raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "and Many More!", "raw": "and Many More!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.", "raw": "This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "This dataset is very useful to Researchers as well.", "raw": "This dataset is very useful to Researchers as well.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

New Dataset: Software-Architecture Link: https://huggingface.co/datasets/ajibawa-2023/Software-Architecture I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl. I have included following topics: Architectural Frameworks Architectural Patterns for Reliability Architectural Patterns for Scalability Architectural Patterns Architectural Quality Attributes Architectural Testing Architectural Views Architectural Decision-Making Advanced Research Cloud-Based Architectures Component-Based Architecture Data Architecture Emerging Trends Event-Driven Architecture Evolvability and Maintainability Microservices and Monolithic Microservices Architecture Security Architecture Service-Oriented Architecture Software Design Principles and Many More! This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful. This dataset is very useful to Researchers as well.

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2024-10-29T06:45:11.000Z

2024-10-30T06:47:27.070Z

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Check out The AI Writing Contest with @BrightData! https://www.contests.hackernoon.com/ai-writing-contest Cash prizes for innovative approaches to AI and LLM training. We publish blog posts, research papers, stories of side hustles, you name it. Any story tagged #AI enters to win. Most recent stories: https://hackernoon.com/tagged/ai and RSS feed https://hackernoon.com/tagged/ai/feed Couple of favorite recent posts we published: Why Salesforce and Microsoft Are Battling for the Future of AI Agents https://hackernoon.com/why-salesforce-and-microsoft-are-battling-for-the-future-of-ai-agents Decentralized AI Summit at MIT Votes OriginTrail As The Best Decentralized AI Project https://hackernoon.com/decentralized-ai-summit-at-mit-votes-origintrail-as-the-best-decentralized-ai-project Studying is Overrated https://hackernoon.com/studying-is-overrated Why Can’t AI Count Letters??? https://hackernoon.com/why-cant-ai-count-letters The Paradox of AI: If It Can't Replace us, Is It Making Us Dumber? https://hackernoon.com/the-paradox-of-ai-if-it-cant-replace-us-is-it-making-us-dumber How Does Human Memory Work? https://hackernoon.com/how-does-human-memory-work Is AI Actually Writing Production-Ready Code? https://hackernoon.com/is-ai-actually-writing-production-ready-code Our AI Coding Tool Went Viral, Then Everything Broke. This is What We Learned. https://hackernoon.com/our-ai-coding-tool-went-viral-then-everything-broke-this-is-what-we-learned Startups of The Year: Meet the AI Industry https://hackernoon.com/startups-of-the-year-meet-the-ai-industry Nobel Prize Winner Geoffrey Hinton Explores Two Paths to Intelligence in AI Lecture https://hackernoon.com/nobel-prize-winner-geoffrey-hinton-explores-two-paths-to-intelligence-in-ai-lecture Comparing AI vs. Blockchain Hype https://hackernoon.com/comparing-ai-vs-blockchain-hype The SaaS Apocalypse and How aI Will Give Birth to One-person Tech Giants https://hackernoon.com/the-saas-apocalypse-and-how-ai-wi

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2024-10-28T22:50:19.000Z

2024-10-28T22:50:19.651Z

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/posts/Smooke/787850885295330

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[ { "type": "text", "value": "🚀🕺🌟 New Research Alert (Avatars Collection)! 🌟💃🚀", "raw": "🚀🕺🌟 New Research Alert (Avatars Collection)! 🌟💃🚀", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📄 Title: Expressive Gaussian Human Avatars from Monocular RGB Video 🔝", "raw": "📄 Title: Expressive Gaussian Human Avatars from Monocular RGB Video 🔝", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📝 Description: The new EVA model enhances the expressiveness of digital avatars by using 3D Gaussians and SMPL-X to capture fine-grained hand and face details from monocular RGB video.", "raw": "📝 Description: The new EVA model enhances the expressiveness of digital avatars by using 3D Gaussians and SMPL-X to capture fine-grained hand and face details from monocular RGB video.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "👥 Authors: Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, and Zhangyang Wang", "raw": "👥 Authors: Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, and Zhangyang Wang", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2407.03204", "href": null, "resource": { "type": "paper", "id": "2407.03204", "discussionNum": null }, "url": "https://huggingface.co/papers/2407.03204", "lang": null, "code": null, "label": "Expressive Gaussian Human Avatars from Monocular RGB Video (2407.03204)", "user": null }, 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"user": null }, { "type": "link", "value": null, "raw": "https://github.com/evahuman/EVA", "href": "https://github.com/evahuman/EVA", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🚀 CVPR-2023-24-Papers: ", "raw": "🚀 CVPR-2023-24-Papers: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "href": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🚀 WACV-2024-Papers: ", "raw": "🚀 WACV-2024-Papers: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/DmitryRyumin/WACV-2024-Papers", "href": "https://github.com/DmitryRyumin/WACV-2024-Papers", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🚀 ICCV-2023-Papers: ", "raw": "🚀 ICCV-2023-Papers: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://github.com/DmitryRyumin/ICCV-2023-Papers", "href": "https://github.com/DmitryRyumin/ICCV-2023-Papers", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "raw": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "href": null, "resource": { "type": "space", "id": "DmitryRyumin/NewEraAI-Papers", "discussionNum": null }, "url": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " curated by ", "raw": " curated by ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@DmitryRyumin", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "DmitryRyumin" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🚀 Added to the Avatars Collection: ", "raw": "🚀 Added to the Avatars Collection: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "href": null, "resource": { "type": "collection", "id": "DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "discussionNum": null }, "url": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🔍 Keywords: #DigitalAvatars #3DModeling #ComputerVision #MonocularVideo #SMPLX #3DGaussians #AvatarExpressiveness #HandTracking #FacialExpressions #AI #MachineLearning", "raw": "🔍 Keywords: #DigitalAvatars #3DModeling #ComputerVision #MonocularVideo #SMPLX #3DGaussians #AvatarExpressiveness #HandTracking #FacialExpressions #AI #MachineLearning", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

🚀🕺🌟 New Research Alert (Avatars Collection)! 🌟💃🚀 📄 Title: Expressive Gaussian Human Avatars from Monocular RGB Video 🔝 📝 Description: The new EVA model enhances the expressiveness of digital avatars by using 3D Gaussians and SMPL-X to capture fine-grained hand and face details from monocular RGB video. 👥 Authors: Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, and Zhangyang Wang 📄 Paper: https://huggingface.co/papers/2407.03204 🌐 Github Page: https://evahuman.github.io/ 📁 Repository: https://github.com/evahuman/EVA 🚀 CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers 🚀 WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers 🚀 ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers 📚 More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin 🚀 Added to the Avatars Collection: https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36 🔍 Keywords: #DigitalAvatars #3DModeling #ComputerVision #MonocularVideo #SMPLX #3DGaussians #AvatarExpressiveness #HandTracking #FacialExpressions #AI #MachineLearning

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2024-07-05T09:34:42.000Z

2024-07-05T09:34:42.628Z

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Weclome to use MInference, which leverages the dynamic sparse nature of LLMs' attention, which exhibits some static patterns, to speed up the pre-filling for million tokens LLMs. It first determines offline which sparse pattern each head belongs to, then approximates the sparse index online and dynamically computes attention with the optimal custom kernels. This approach achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy with 1M tokens. For more detail please check, project page: https://aka.ms/MInference code: https://github.com/microsoft/MInference paper: https://huggingface.co/papers/2407.02490 hf demo: https://huggingface.co/spaces/microsoft/MInference

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2024-07-04T17:53:43.000Z

2024-07-04T17:54:47.262Z

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328881196495518

[ { "type": "text", "value": "New dataset filtering feature just dropped! 🤗🚀", "raw": "New dataset filtering feature just dropped! 🤗🚀", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Find exactly what you need with filters for:", "raw": "Find exactly what you need with filters for:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Modalities (text, image, audio, etc.)", "raw": "- Modalities (text, image, audio, etc.)", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- Dataset size", "raw": "- Dataset size", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- File format", "raw": "- File format", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Try it now: ", "raw": "Try it now: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/datasets", "href": "https://huggingface.co/datasets", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "What other filters would you find useful? Drop your ideas!", "raw": "What other filters would you find useful? Drop your ideas!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

New dataset filtering feature just dropped! 🤗🚀 Find exactly what you need with filters for: - Modalities (text, image, audio, etc.) - Dataset size - File format Try it now: https://huggingface.co/datasets What other filters would you find useful? Drop your ideas!

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[]

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2024-07-04T16:07:28.000Z

2024-07-04T16:07:28.663Z

[]

/posts/fdaudens/328881196495518

989

0

936208234528035

[ { "type": "text", "value": "Hi ", "raw": "Hi ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@jonoirwin", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "jonoirwin" }, { "type": "text", "value": "! Big fan of ", "raw": "! Big fan of ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "link", "value": null, "raw": "https://fastvoiceagent.cerebrium.ai/", "href": "https://fastvoiceagent.cerebrium.ai/", "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": " 🔥", "raw": " 🔥", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I'd be super happy to give you a GPU grant to host it on a Space, it would allow more people to discover and use it!", "raw": "I'd be super happy to give you a GPU grant to host it on a Space, it would allow more people to discover and use it!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

Hi @jonoirwin! Big fan of https://fastvoiceagent.cerebrium.ai/ 🔥 I'd be super happy to give you a GPU grant to host it on a Space, it would allow more people to discover and use it!

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[]

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2024-07-04T13:13:13.000Z

2024-07-04T13:17:16.379Z

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/posts/victor/936208234528035

2,207

1

553468971807366

[ { "type": "text", "value": "I've created a space for chatting with Gemma 2 using llama.cpp", "raw": "I've created a space for chatting with Gemma 2 using llama.cpp", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 🎛️ Choose between 27B IT and 9b IT models", "raw": "- 🎛️ Choose between 27B IT and 9b IT models", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- 🚀 Fast inference using llama.cpp", "raw": "- 🚀 Fast inference using llama.cpp", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/gokaygokay/Gemma-2-llamacpp", "href": null, "resource": { "type": "space", "id": "gokaygokay/Gemma-2-llamacpp", "discussionNum": null }, "url": "https://huggingface.co/spaces/gokaygokay/Gemma-2-llamacpp", "lang": null, "code": null, "label": null, "user": null } ]

I've created a space for chatting with Gemma 2 using llama.cpp - 🎛️ Choose between 27B IT and 9b IT models - 🚀 Fast inference using llama.cpp - https://huggingface.co/spaces/gokaygokay/Gemma-2-llamacpp

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2024-07-04T11:16:41.000Z

2024-07-05T07:13:35.759Z

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/posts/gokaygokay/553468971807366

4,049

1

556266456592988

[ { "type": "mention", "value": null, "raw": "@Omartificial-Intelligence-Space", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "Omartificial-Intelligence-Space" }, { "type": "text", "value": " has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! ", "raw": " has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: ", "raw": "📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet", "href": null, "resource": { "type": "dataset", "id": "Omartificial-Intelligence-Space/Arabic-NLi-Triplet", "discussionNum": null }, "url": "https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.", "raw": "6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.", "raw": "🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "📈 Outperforms all commonly used multilingual models like ", "raw": "📈 Outperforms all commonly used multilingual models like ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/intfloat/multilingual-e5-large", "href": null, "resource": { "type": "model", "id": "intfloat/multilingual-e5-large", "discussionNum": null }, "url": "https://huggingface.co/intfloat/multilingual-e5-large", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ", ", "raw": ", ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "href": null, "resource": { "type": "model", "id": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "discussionNum": null }, "url": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ", and ", "raw": ", and ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sentence-transformers/LaBSE", "href": null, "resource": { "type": "model", "id": "sentence-transformers/LaBSE", "discussionNum": null }, "url": "https://huggingface.co/sentence-transformers/LaBSE", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Check them out here:", "raw": "Check them out here:", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-labse-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "Or the collection with all: ", "raw": "Or the collection with all: ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e", "href": null, "resource": { "type": "collection", "id": "Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e", "discussionNum": null }, "url": "https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "My personal favourite is likely ", "raw": "My personal favourite is likely ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "href": null, "resource": { "type": "model", "id": "Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "discussionNum": null }, "url": "https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ": a very efficient 135M parameters & scores #1 on ", "raw": ": a very efficient 135M parameters & scores #1 on ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/mteb/leaderboard", "href": null, "resource": { "type": "space", "id": "mteb/leaderboard", "discussionNum": null }, "url": "https://huggingface.co/spaces/mteb/leaderboard", "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

@Omartificial-Intelligence-Space has trained and released 6 Arabic embedding models for semantic similarity. 4 of them outperform all previous models on the STS17 Arabic-Arabic task! 📚 Trained on a large dataset of 558k Arabic triplets translated from the AllNLI triplet dataset: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet 6️⃣ 6 different base models: AraBERT, MarBERT, LaBSE, MiniLM, paraphrase-multilingual-mpnet-base, mpnet-base, ranging from 109M to 471M parameters. 🪆 Trained with a Matryoshka loss, allowing you to truncate embeddings with minimal performance loss: smaller embeddings are faster to compare. 📈 Outperforms all commonly used multilingual models like https://huggingface.co/intfloat/multilingual-e5-large, https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2, and https://huggingface.co/sentence-transformers/LaBSE. Check them out here: - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka - https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet Or the collection with all: https://huggingface.co/collections/Omartificial-Intelligence-Space/arabic-matryoshka-embedding-models-666f764d3b570f44d7f77d4e My personal favourite is likely https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka: a very efficient 135M parameters & scores #1 on https://huggingface.co/spaces/mteb/leaderboard.

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2024-07-04T10:40:53.000Z

2024-07-04T11:15:45.607Z

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/posts/tomaarsen/556266456592988

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959222127501845

[ { "type": "text", "value": "I really like what the ", "raw": "I really like what the ", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "mention", "value": null, "raw": "@jasperAITeam", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": "jasperAITeam" }, { "type": "text", "value": " designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising.", "raw": " designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising.", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "text", "value": "I put together my own page of models using their code and LoRA. Enjoy!", "raw": "I put together my own page of models using their code and LoRA. Enjoy!", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/alvdansen/flash-lora-araminta-k-styles", "href": null, "resource": { "type": "space", "id": "alvdansen/flash-lora-araminta-k-styles", "discussionNum": null }, "url": "https://huggingface.co/spaces/alvdansen/flash-lora-araminta-k-styles", "lang": null, "code": null, "label": null, "user": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "lang": null, "code": null, "label": null, "user": null } ]

I really like what the @jasperAITeam designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising. I put together my own page of models using their code and LoRA. Enjoy! https://huggingface.co/spaces/alvdansen/flash-lora-araminta-k-styles

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2024-07-04T08:56:02.000Z

2024-07-04T08:56:02.253Z

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/posts/alvdansen/959222127501845

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