Why LLMs Are Usually Trained for Only One Epoch
gabriberton · x · 2026-07-13
This post summarizes a key point from the The Information Bottleneck podcast regarding LLM data curation: Why are language models typically trained for only one epoch, while vision models undergo multiple epochs? The answer provided is that vision tasks benefit from much better data augmentation techniques.
Related event: LLM Data Curation Insights: Data Rebound and Mid-training(6 posts)→
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