Amazon· Bedrock / Nova

Preparing data for supervised fine-tuning Part 1: Formatting and quality

This is a blog post providing guidance on preparing data for supervised fine-tuning (SFT) of foundation models. It covers data quality checks, formatting, and train/evaluation splits, with references to Amazon Nova and Amazon Bedrock as examples, but does not announce any new product, model, or feature.

From the source

This post, the first of a two-part series, covers the foundations of SFT data preparation: quality checks, formatting requirements, and train/evaluation splits.

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Announced

26 Aug 2026 16:24 UTC

Detected

26 Aug 2026 16:28 UTC (+4m after)