How to Predict Best Pretraining Data with Small Experiments

from Arxiv Papers · host Igor Melnyk

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

Episode metadata supplied by the publisher feed · Published Apr 16, 2025

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How to Predict Best Pretraining Data with Small Experiments

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