Design and run evaluations that actually measure what matters — beyond benchmarks to task-specific, domain-specific testing.
Five passes over the same idea, each from a different angle. Do them in order, or jump to whichever you need.
Standard benchmarks tell you general capability. Custom evals tell you if a model works for YOUR use case. Build evaluation datasets from real user queries, define scoring rubrics (LLM-as-judge, human eval, exact match), track eval scores across model versions, and use A/B testing for final decisions.
Where this topic shows up outside its home domain:
