How to Fine-Tune GPT-4o-mini on Your Own Guardrail Failures (50 Lines of Python)

How to Fine-Tune GPT-4o-mini on Your Own Guardrail Failures (50 Lines of Python) Every time your LLM gets corrected by a guardrail, a training example is born and immediately thrown away. This tutorial shows you how to catch those examples and use them to make your model better — automatically, with no manual labeling. By the end, you'll have a working pipeline that: Validates LLM outputs against natural language requirements Retries failures with structured feedback Captures every (rejecte...