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How to Predict Best Pretraining Data with Small Experiments
The paper introduces DATADECIDE, a suite for evaluating data selection methods, revealing that small-scale model rankings effectively predict larger model performance, enhancing cost-efficient pretraining decisions.
https://arxiv.org/abs//2504.11393
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
The paper introduces DATADECIDE, a suite for evaluating data selection methods, revealing that small-scale model rankings effectively predict larger model performance, enhancing cost-efficient pretraining decisions.
https://arxiv.org/abs//2504.11393
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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