Amazon· Bedrock / Nova

Preparing data for supervised fine-tuning Part 2: Advanced data strategies

The post is a guide on advanced data preparation strategies for supervised fine-tuning, covering learning curve analysis, data subset selection, augmentation, and mixing, with references to Amazon Nova customization findings. It is not a product or model announcement but a tutorial for practitioners.

From the source

This second post covers four advanced strategies: evaluating data readiness with learning curve analysis, data subset selection and filtering, data augmentation, and data mixing.

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Announced

26 Aug 2026 16:24 UTC

Detected

26 Aug 2026 16:28 UTC (+3m after)