LLM evaluation
Expanded definition
LLM evaluation combines offline test sets, human review, automated graders, regression tests, production monitoring, and task-specific metrics. Strong evaluation looks beyond generic benchmark scores and measures groundedness, tool accuracy, latency, cost, refusal behavior, and failure cases for the actual user workflow.
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LLM evaluation FAQ
What is LLM evaluation?
LLM evaluation measures whether a model or AI workflow is accurate, useful, safe, reliable, and cost-effective for a target task.
How is LLM evaluation used in AI systems?
LLM evaluation combines offline test sets, human review, automated graders, regression tests, production monitoring, and task-specific metrics. Strong evaluation looks beyond generic benchmark scores and measures groundedness, tool accuracy, latency, cost, refusal behavior, and failure cases for the actual user workflow.
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