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How to Predict Best Pretraining Data with Small Experiments

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Manage episode 477384405 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

2177 episodes

Artwork
iconShare
 
Manage episode 477384405 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

  continue reading

2177 episodes

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