Florent Daudens's picture

Florent Daudens

fdaudens

AI & ML interests

AI & Journalism

Recent Activity

liked a Space about 12 hours ago
fastrtc/talk-to-gemini
liked a model about 15 hours ago
sesame/csm-1b
liked a Space about 15 hours ago
sesame/csm-1b
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Hugging Face's profile picture Hugging Face OSS Metrics's profile picture Hugging Face TB Research's profile picture ZeroGPU Explorers's profile picture LeRobot's profile picture Journalists on Hugging Face's profile picture Major TOM's profile picture MLX Community's profile picture Social Post Explorers's profile picture Projet Spinoza's profile picture Dev Mode Explorers's profile picture Hugging Face for Legal's profile picture Hugging Face Discord Community's profile picture Big Science Social Impact Evaluation for Bias and Stereotypes's profile picture Dataset Tools's profile picture Hugging Face Science's profile picture Coordination Nationale pour l'IA's profile picture Data Is Better Together Contributor's profile picture Sandbox's profile picture Open R1's profile picture

fdaudens's activity

posted an update about 16 hours ago
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🤯 Gemma 3's image analysis blew me away!

Tested 2 ways to extract airplane registration numbers from photos with 12B model:

1️⃣ Gradio app w/API link (underrated feature IMO) + ZeroGPU infra on Hugging Face in Google Colab. Fast & free.

2️⃣ LMStudio + local processing (100% private). Running this powerhouse on a MacBook w/16GB RAM is wild! 🚀

Colab: https://colab.research.google.com/drive/1YmmaP0IDEu98CLDppAAK9kbQZ7lFnLZ1?usp=sharing
reacted to clem's post with 🚀 about 16 hours ago
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983
We just crossed 1,500,000 public models on Hugging Face (and 500k spaces, 330k datasets, 50k papers). One new repository is created every 15 seconds. Congratulations all!
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upvoted an article 1 day ago
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Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

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posted an update 2 days ago
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Ever wanted 45 min with one of AI’s most fascinating minds? Was with @thomwolf at HumanX Vegas. Sharing my notes of his Q&A with the press—completely changed how I think about AI’s future:

1️⃣ The next wave of successful AI companies won’t be defined by who has the best model but by who builds the most useful real-world solutions. "We all have engines in our cars, but that’s rarely the only reason we buy one. We expect it to work well, and that’s enough. LLMs will be the same."

2️⃣ Big players are pivoting: "Closed-source companies—OpenAI being the first—have largely shifted from LLM announcements to product announcements."

3️⃣ Open source is changing everything: "DeepSeek was open source AI’s ChatGPT moment. Basically, everyone outside the bubble realized you can get a model for free—and it’s just as good as the paid ones."

4️⃣ Product innovation is being democratized: Take Manus, for example—they built a product on top of Anthropic’s models that’s "actually better than Anthropic’s own product for now, in terms of agents." This proves that anyone can build great products with existing models.

We’re entering a "multi-LLM world," where models are becoming commoditized, and all the tools to build are readily available—just look at the flurry of daily new releases on Hugging Face.

Thom's comparison to the internet era is spot-on: "In the beginning you made a lot of money by making websites... but nowadays the huge internet companies are not the companies that built websites. Like Airbnb, Uber, Facebook, they just use the internet as a medium to make something for real life use cases."

Love to hear your thoughts on this shift!
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posted an update 3 days ago
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1665
🔥The Open R1 team just dropped OlympicCoder and it's wild:

- 7B model outperforms Claude 3.7 Sonnet on IOI benchmark (yes, 7B!!)
- 32B crushes all open-weight models tested, even those 100x larger 🤯

Open-sourcing the future of code reasoning! 🚀

Check it out https://huggingface.co/blog/open-r1/update-3
upvoted 3 articles 3 days ago
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LeRobot goes to driving school: World’s largest open-source self-driving dataset

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replied to their post 4 days ago