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

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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, conversational (JSONL) formatting, reasoning and tool-calling schemas, and a representative train/evaluation split.

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时间线

1. 16:24
   AWS Machine Learning 最先出现AAWS Machine Learning
2. 16:24
   AWS Machine Learning 发布补充说明AAWS Machine Learning

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