Applied AI·Fine-tuning and customisation
your fine-tuning data was formatted slightly differently from your production prompt, and the results quietly got worse.
Training example format
Draft summary, pending review
Fine-tuning data mirrors inference: full conversations with system, user and assistant turns, the assistant turns being the behaviour to learn. Formatting inconsistencies between training data and production prompts quietly destroy results.