GPT-2 ne tient que sur 174 lignes de code… c'est pas fou ?
MACHINE LEARNING
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Live-Edit Docs & Code with ChatGPT
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→ Canvas (Docs + Code Editor)
— God of Prompt (@godofprompt) 13 mai 2025
Live-edit documents or code with ChatGPT in a real editor.
Use it for:
• Writing blog posts or strategies
• Building full apps or scripts
• Real-time project planning pic.twitter.com/wBHJGLQjxf→ Canvas (Docs + Code Editor) Live-edit documents or code with ChatGPT in a real editor. Use it for: • Writing blog posts or strategies
• Building full apps or scripts
• Real-time project planning -
Join the VISION IA Community to Learn About AI
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Merci d'avoir lu ! Je vous apprends ça et bien plus. Pour apprendre à utiliser l'IA, rejoignez les plus de 1500 participants qui ont déjà commencé ! Apprenez l'IA sous toutes ses formes et rejoignez la communauté VISION IA !
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FaceAge: AI Tool Estimates Cancer Survival from Facial Photos
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Mass General Brigham’s researchers introduced FaceAge, an AI tool that can estimate cancer survival outcomes with facial photos The AI estimates biological age from photos, helping teams guide their treatment levels accordingly
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RL Verification Rewards vs SFT Synthetic Data Training
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this isn't right. RL with verification-based-rewards is a different learning signal than generating synthetic data via language modeling and then using SFT, which is what you're describing
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From Supervised to Reinforcement Learning: The Next AI Frontier
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the AI labs spent a few years quietly scaling up supervised learning, where the best-case outcome was obvious: an excellent simulator of human text now they are scaling up reinforcement learning, which is something fundamentally different. and no one knows what happens next
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Fine-Tuning Embedding Models for RAG Retrieval Optimization
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Optimizing RAG Retrieval May 14, 10–10:30 AM PT
See how we fine-tune embedding models using labeled Q/C/A triplets + metadata for smarter chunking. Join us: https://
bit.ly/3XRWvzA -
Reinforcement Fine-Tuning: o4-mini Learns from Minimal Examples
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Reinforcement fine-tuning still feels magical to me.
— Romain Huet (@romainhuet) 12 mai 2025
Compared to regular fine-tuning, RFT on o4-mini learns from just a handful of solid examples to improve model performance for your use case, even in complex domains. https://t.co/gqyrKW3DqiReinforcement fine-tuning still feels magical to me. Compared to regular fine-tuning, RFT on o4-mini learns from just a handful of solid examples to improve model performance for your use case, even in complex domains.
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Dataset Contamination Concerns with Meta-Mixed Dataset Collections
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When a new dataset comes out, I get excited and check it out and then only realize that this is another meta-mixed dataset combining a collections of other existing datasets. My brain immediately acts like "oh fork … contamination!" No meta-meta-mixed dataset plzzzz :lolsob:
→ View original post on X — @lilianweng, 2025-05-12 20:51 UTC
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Qwen 3 Releases Smaller Models for Lower-Spec GPUs
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Pour ce que ça intéresse : Qwen 3 viennent de sortir des versions plus petites du modèles, qui peuvent tourner sur des GPU à partir de 4Go de VRAM.