AWS Blog: Advanced Data Strategies for Supervised Fine-Tuning
AWS published the second part of a series on preparing data for supervised fine-tuning. It covers evaluating data readiness with learning curves, selecting high-value subsets, augmenting with synthetic and distilled examples, and mixing data sources to prevent catastrophic forgetting.
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