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Ibrahim

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reacted to lewtun's post with 🔥 12 days ago
We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open! 🧪 Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1. 🧠 Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code. 🔥 Step 3: show we can go from base model -> SFT -> RL via multi-stage training. Follow along: https://github.com/huggingface/open-r1
reacted to ThomasSumner's post with 🔥 2 months ago
New Datasets Will Train AI Models To Think Like Scientists The Polymathic AI team has released two massive datasets for training artificial intelligence models to tackle problems across scientific disciplines. The datasets — accessible on HuggingFace — include data from dozens of sources, including astrophysics, biology, fluid dynamics, acoustics and chemistry. Full announcement here: https://www.simonsfoundation.org/2024/12/02/new-datasets-will-train-ai-models-to-think-like-scientists/ Polymathic AI Hugging Face Org: https://huggingface.co/polymathic-ai
updated a Space 6 months ago
ibvhim/Gradio-Apps
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