Fine-tune Generate

Iteratively generate and filter training data until quality stabilizes.

Prerequisites

Complete finetune-design first. You need:

• Model choice and token constraints
• Input taxonomy
• Evaluation rubric with calibration examples
• Persona template
• User simulator, assistant, and system prompts

Outputs

By the end of this phase, you will have: