#testing

Generic benchmarks don't predict production quality. Domain-specific evals, regression tests, and A/B testing reveal whether your fine-tuning actually worked.

Bad evals give false confidence. Good evals predict production failures. The difference is designing for the problems users actually hit.

Eval suites catch problems benchmarks miss. Here's how to build testing that prevents quantization regressions from reaching users.