Want to create an interactive transcript for this episode?
Podcast: Arxiv Papers
Episode: [QA] 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
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
<...