Regression Testing

The model provider just updated the model behind the API endpoint. Describe the regression testing process before allowing traffic.

Design an eval framework that tells you whether a production prompt survives a model migration (Claude 4.7 to 5.0, or Claude to GPT-5.5). What do you measure and what's the gate?

Order the ship-readiness steps for a production fine-tune

How do you design a golden eval set for a prompt that can serve as a regression-CI gate in production?

What is shadow deployment for LLMs and how does it enable safe evaluation?

What is the primary reason for running LLM judges at temperature=0 in an eval pipeline?