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M Almenea

malmenea
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upvoted a paper 22 days ago
Executable Code Actions Elicit Better LLM Agents
liked a Space 4 months ago
nanotron/ultrascale-playbook
reacted to loubnabnl's post with 🤗 over 1 year ago
We've just published a detailed blog post on the creation of Cosmopedia dataset. We hope this will provide insights about generating synthetic data at scale for pre-training. https://huggingface.co/blog/cosmopedia Here are some key takeaways: 🎯 Prompt curation is crucial: we want to cover many topics with few duplicates. 📚 You can leverage various resources for diversity: using different seed data, generation formats, and target audiences. ⚙️ The importance of a good technical stack: for scalable generations with tools like llm-swarm and fast model training and evaluation. Have a good read!
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