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. 
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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. 
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https://huggingface.co/blog/cosmopedia
https://huggingface.co/blog/cosmopedia
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Here are some key takeaways:  
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Here are some key takeaways:  
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🎯 Prompt curation is crucial: we want to cover many topics with few duplicates.
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🎯 Prompt curation is crucial: we want to cover many topics with few duplicates.
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📚 You can leverage various resources for diversity: using different seed data, generation formats, and target audiences.
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📚 You can leverage various resources for diversity: using different seed data, generation formats, and target audiences.
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⚙️ The importance of a good technical stack: for scalable generations with tools like llm-swarm and fast model training and evaluation.
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⚙️ The importance of a good technical stack: for scalable generations with tools like llm-swarm and fast model training and evaluation.
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Have a good read!
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Have a good read!
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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alielfilali01 anton-l vwxyzjn samusenps osanseviero xu3kev mmhamdy thomwolf muhtasham aloobun Salwa-Zeitoun AdinaY Dflare molonelaveh timpearce svallory gorillaframeai
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Muhtasham Oblokulov
muhtasham
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