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Podcast: Arxiv Papers
Episode: A Hitchhiker's Guide to Scaling Law Estimation
Description:
The paper analyzes scaling laws in machine learning, providing best practices for estimating model performance using a large dataset of pretrained models and emphasizing the importance of intermediate training checkpoints.
https://arxiv.org/abs//2410.11840
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