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Jean Louis

JLouisBiz
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https://www.StartYourOwnGoldMine.com

AI & ML interests

- LLM for sales, marketing, promotion - LLM for Website Revision System - increasing quality of communication with customers - helping clients access information faster - saving people from financial troubles

Recent Activity

reacted to fdaudens's post with 👍 1 day ago
You might not have heard of Moonshot AI — but within 24 hours, their new model Kimi K2 shot to the top of Hugging Face’s trending leaderboard. So… who are they, and why does it matter? Had a lot of fun co-writing this blog post with @xianbao, with key insights translated from Chinese, to unpack how this startup built a model that outperforms GPT-4.1, Claude Opus, and DeepSeek V3 on several major benchmarks. 🧵 A few standout facts: 1. From zero to $3.3B in 18 months: Founded in March 2023, Moonshot is now backed by Alibaba, Tencent, Meituan, and HongShan. 2. A CEO who thinks from the end: Yang Zhilin (31) previously worked at Meta AI, Google Brain, and Carnegie Mellon. His vision? Nothing less than AGI — still a rare ambition among Chinese AI labs. 3. A trillion-parameter model that’s surprisingly efficient: Kimi K2 uses a mixture-of-experts architecture (32B active params per inference) and dominates on coding/math benchmarks. 4. The secret weapon: Muon optimizer: A new training method that doubles efficiency, cuts memory in half, and ran 15.5T tokens with zero failures. Big implications. Most importantly, their move from closed to open source signals a broader shift in China’s AI scene — following Baidu’s pivot. But as Yang puts it: “Users are the only real leaderboard.” 👇 Check out the full post to explore what Kimi K2 can do, how to try it, and why it matters for the future of open-source LLMs: https://huggingface.co/blog/fdaudens/moonshot-ai-kimi-k2-explained
replied to AdinaY's post 16 days ago
Pangu Pro MoE 🔥 Huawei's first open model! Paper: https://huggingface.co/papers/2505.21411 Model: https://gitcode.com/ascend-tribe/pangu-pro-moe-model ✨ MoGE: Mixture of Grouped Experts ✨ 16B activated params - 48 layers ✨ Trained on 15T tokens ✨ Natively optimized for Ascend hardware
replied to a-r-r-o-w's post 20 days ago
As you might have already heard, FLUX.1-Kontext-dev is now released and taken the generative community by storm! In case you haven't come across it, you can get started with Kontext using 🤗 diffusers. See the official [model](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev) and [docs](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux#flux). Want to know how inference companies like Fal & Replicate are able to run the model so fast and in under 2 seconds per image? Check out this [gist](https://gist.github.com/a-r-r-o-w/d08c37e8bd3e9c26b4ce80360be148c6) for some details!
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