BrigitteTousi (Brigitte Tousignant)

liked a Space about 15 hours ago

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3DHeart

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An interactive view of human heart

upvoted an article about 18 hours ago

Article

Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders

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1 day ago

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upvoted an article 1 day ago

Article

SmolLM3: smol, multilingual, long-context reasoner

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2 days ago

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liked a Space 6 days ago

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Whirlpool Camera

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real-time webcam distortion using hand tracking + shaders

liked a model 7 days ago

tngtech/DeepSeek-TNG-R1T2-Chimera

Text Generation • 685B • Updated 2 days ago • 2.63k • 186

reacted to AdinaY's post with 🔥 8 days ago

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🔥 June highlights from China’s open source ecosystem.

zh-ai-community/june-2025-open-works-from-the-chinese-community-683d66c188f782dc5570ba15

✨Baidu & MiniMax both launched open foundation models
- Baidu: Ernie 4.5 ( from 0.3B -424B ) 🤯
- MiniMax: MiniMax -M1 ( Hybrid MoE reasoning model )

✨Multimodal AI is moving from fusion to full-stack reasoning: unified Any-to-Any pipelines across text, vision, audio, and 3D
- Baidu: ERNIE-4.5-VL-424B
- Moonshot AI: Kimi-VL-A3B
- Alibaba: Ovis-U1
- BAAI: Video-XL-2/OmniGen2
- AntGroup: Ming-Lite-Omni
- Chinese Academy of Science: Stream-Omni
- Bytedance: SeedVR2-3B
- Tencent: Hunyuan 3D 2.1/ SongGeneration
- FishAudio: Openaudio-s1-mini

✨Domain specific models are rapidly emerging
- Alibaba DAMO: Lingshu-7B (medical MLLM)
- BAAI: RoboBrain (Robotics)

✨ So many small models!
- OpenBMB: MiciCPM4 ( on device )
- Qwen: Embedding/Reranker (0.6B)
- Alibaba: Ovis-U1-3B
- Moonshot AI: Kimi-VL-A3B
- Bytedance: SeedVR2-3B

upvoted an article 8 days ago

Article

Bringing Fusion Down to Earth: ML for Stellarator Optimization

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liked a Space 8 days ago

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ConStellaration Design Leaderboard

🔋

View and submit plasma boundary scores

reacted to burtenshaw's post with ❤️ 9 days ago

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Inference for generative ai models looks like a mine field, but there’s a simple protocol for picking the best inference:

🌍 95% of users >> If you’re using open (large) models and need fast online inference, then use Inference providers on auto mode, and let it choose the best provider for the model. https://huggingface.co/docs/inference-providers/index

👷 fine-tuners/ bespoke >> If you’ve got custom setups, use Inference Endpoints to define a configuration from AWS, Azure, GCP. https://endpoints.huggingface.co/

🦫 Locals >> If you’re trying to stretch everything you can out of a server or local machine, use Llama.cpp, Jan, LMStudio or vLLM. https://huggingface.co/settings/local-apps#local-apps

🪟 Browsers >> If you need open models running right here in the browser, use transformers.js. https://github.com/huggingface/transformers.js

Let me know what you’re using, and if you think it’s more complex than this.

reacted to fdaudens's post with 🔥❤️ 13 days ago

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3284

Three big AI copyright updates this week alone. Tracking it all is getting almost impossible!

That’s why @BrigitteTousi and I built this interactive tracker to keep you up to date fdaudens/ai-copyright-lawsuits

(Prototyped in minutes with DeepSite!)

reacted to fdaudens's post with 🔥 13 days ago

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1801

This is what efficient AI looks like: Gemma 3n just dropped - a natively multimodal model that runs entirely on your device. No cloud. No API calls.

🧠 Text, image, audio, and video - handled locally.
⚡️Only needs 2B in GPU memory to run
🤯 First sub-10B model to hit 1300+ Elo
✅ Plug-and-play with Hugging Face, MLX, llama.cpp, and more.

Plus: Multilingual out of the box (140+ languages), fine-tune in a free Colab notebook.

google/gemma-3n-685065323f5984ef315c93f4

1 reply

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reacted to EmilyWitko's post with 🔥 13 days ago

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1921

Enjoy seven seconds on what I have to say about companies that have hiring quotas and zero other plans to support underrepresented staff:

reacted to AdinaY's post with 🔥 13 days ago

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Hunyuan-A13B 🔥 New MoE LLM by TencentHunyuan

tencent/Hunyuan-A13B-Instruct

✨80B total / 13B active params
✨256K context window
✨Dual-mode reasoning: fast & slow thinking
✨Efficient inference (GQA + quantization)

liked 2 Spaces 13 days ago

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ai-copyright-lawsuits

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Arpeggiator

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Hand-controlled arpeggiator, drum machine, and visualizer

reacted to jsulz's post with 🚀 14 days ago

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4291

It's been a bit since I took a step back and looked at

xet-team progress to migrate Hugging Face from Git LFS to Xet, but every time I do it boggles the mind.

A month ago there were 5,500 users/orgs on Xet with 150K repos and 4PB. Today?
🤗 700,000 users/orgs
📈 350,000 repos
🚀 15PB

Meanwhile, our migrations have pushed throughput to numbers that are bonkers. In June, we hit upload speeds of 577Gb/s (crossing 500Gb/s for the first time).

These are hard numbers to put into context, but let's try:

The latest run of the Common Crawl from

commoncrawl was 471 TB.

We now have ~32 crawls stored in Xet. At peak upload speed we could move the latest crawl into Xet in about two hours.

We're moving to a new phase in the process, so stay tuned.

This shift in gears means it's also time to roll up our sleeves and look at all the bytes we have and the value we're adding to the community.

I already have some homework from @RichardErkhov to look at the dedupe across their uploads, and I'll be doing the same for other early adopters, big models/datasets, and frequent uploaders (looking at you @bartowski 👀)

Let me know if there's anything you're interested in; happy to dig in!