Developers use diverse evaluation sets to regression-test updated AI models

1. Compile an evaluation set containing normal cases, edge cases, structured-output checks, and long-context examples.
2. Isolate multimodal evaluations into a separate image-and-text test set to keep text-only scores clean.
3. Compare quality, refusal behavior, latency, and token usage before and after a model version switch.