Lesson 1187 of 1550
AI Prompt Engineer Evaluation Sets: Designing Cases That Catch Regressions
AI can draft AI prompt-engineer evaluation cases and scoring rubrics, but the choice of what counts as success is a product decision.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2evaluation sets
- 3regression testing
- 4rubrics
Concept cluster
Terms to connect while reading
Section 1
The premise
AI can draft an AI prompt-engineer evaluation set with happy-path cases, edge cases, and adversarial cases, each with a rubric.
What AI does well here
- Produce edge cases by varying one dimension at a time from a happy-path seed
- Draft rubric criteria with concrete pass and fail examples
What AI cannot do
- Decide which failure modes are acceptable in production
- Score live model output without a human reviewer in the loop
Key terms in this lesson
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