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

- Company: Amazon (amazon.com)
- Announced: 2026-08-26T16:24:02+00:00
- Subject: Bedrock / Nova
- Source: https://aws.amazon.com/blogs/machine-learning/preparing-data-for-supervised-fine-tuning-part-1-formatting-and-quality/
- Record: https://forck.live/items/4444-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.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/preparing-data-for-supervised-fine-tuning-part-1-formatting-and-quality/:

> 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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Record: https://forck.live/items/4444-preparing-data-for-supervised-fine-tuning-part-1-formatting-and-quality
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