Bridging Datasets with Mid-training
gabriberton · x · 2026-07-13
This is an excerpt from the same podcast: datasets like Wikipedia and GitHub simply aren't large enough to train a model from scratch. The standard approach is to pre-train on messier data, fine-tune a separate model for each specific dataset, and finally perform post-training.
The post categorizes this specific approach as mid-training.
Related event: LLM Data Curation Insights: Data Rebound and Mid-training(6 posts)→
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