COURSE 5 OF 8
LLM Evaluation and Release Gates
Catch retrieval, prompt, and model regressions before expanding a release.
Background reading
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An average score can hide a broken use case
Keep evaluation cases grouped by the job the application performs: retrieval, grounded answers, refusals, structured output, or tool selection. Include cases from actual failures after removing sensitive information.
Version the inputs, expected checks, grading method, and candidate configuration. A changed grader can move a score even when the application did not change.
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What you will learn next
- 01Separate deterministic checks from judgment
- 02Further reading
- 03The new prompt wins on easy questions
- 04Review
- 05References