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gorillaframeai

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reacted to loubnabnl's post with ❤️ 2 days 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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