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

Supervised fine-tuning hinges on data preparation, not just model choice. This guide covers quality checks, conversational JSONL formatting, reasoning and tool-calling schemas, plus a representative train/eval split. It gives AI developers a practical foundation for building SFT datasets.

Opening Kapyn…