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Preparing data for supervised fine-tuning Part 2: Advanced data strategies | Amazon Web Services
The advanced side of supervised fine-tuning data prep. This second post in a two-part series covers evaluating data readiness with learning curves, selecting high-value data subsets, augmenting data with synthetic and distilled examples, and mixing data sources to prevent catastrophic forgetting.
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Preparing data for supervised fine-tuning Part 1: Formatting and quality | Amazon Web Services
Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data prep: quality checks,…
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Preparing data for supervised fine-tuning Part 2: Advanced data strategies | Amazon Web Services
The advanced side of supervised fine-tuning data prep. This second post in a two-part series covers evaluating data readiness with learning curves, selecting high-value data…