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Building on HF

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namanvats

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AI & ML interests

Make Open Source AI win

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reacted to victor's post with 🔥 2 days ago

Want to share my enthusiasm for https://huggingface.co/zai-org/GLM-5.1 here too 🔥 I think we have it: our open source Claude Code = GLM-5.1 + Pi (https://pi.dev/) - Built a Three.js racing game to eval and it's extremely impressive. Thoughts: - One-shot car physics with real drift mechanics (this is hard) - My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen - 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters - All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio! - Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed You are going to hear about this model a lot in the next months - open source let's go - and thanks z-ai🚀🚀

reacted to anakin87's post with ❤️ 4 days ago

🌀 Let LLMs wander - Engineering RL Environments Reinforcement Learning Environments are little worlds where models can act, get rewards, and learn. I've been exploring how to design them, figuring out what works and what doesn't. If you want to learn how to build them, I recorded a practical intro video. You'll also see how to turn Liquid AI LFM2-2.6B into a Tic-tac-toe master 🙂 🎥 Engineering RL Environments video: https://www.youtube.com/watch?v=71V3fTaUp2Q --- 🌱 LLM RL Environments Lil Course: https://github.com/anakin87/llm-rl-environments-lil-course 🤗🕹️ Play against the trained model: https://huggingface.co/spaces/anakin87/LFM2-2.6B-mr-tictactoe 📚 HF collection (datasets + models): https://huggingface.co/collections/anakin87/lfm2-26b-mr-tic-tac-toe

upvoted a paper 4 days ago

Kronos: A Foundation Model for the Language of Financial Markets

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