You'll learn how to evaluate LLM prompts with evidence instead of impressions: anchoring tests in product decisions, defining observable criteria, running multi-run checks to catch variation, choosing fair scoring metrics, and reading report data to recommend whether to ship, revise, or gather more cases.
Overview
Syllabus
Foundations of Prompt Evaluation
- Naming Evaluation Decisions
- Match Goals And Criteria
- Inspect Prompt Evaluation
Repeatable Prompt Behavior
- Complete The Repeat Evidence Statements
- Evaluate Repeated Prompt Runs
- Reading Repeated Run Patterns
Choosing Evaluation Metrics
- Match Metrics To Behaviors
- Choosing Evaluation Metrics
- Compare Evaluation Metrics
- Metric Mismatch or Prompt Miss
Reading Evaluation Results
- Evaluating Mean Consistency
- Reading Evaluation Reports
- Justify The Gate Call
