Prompt Evaluation & Testing
Build rigorous evaluation systems for production prompts — from golden datasets and success metrics to automated evaluation pipelines, regression testing, and adversarial inputs. Learn how to measure prompt quality with statistical rigor and build evaluations that resist manipulation.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: FORGE — Proposal Writer & Systems Specialist
Module 1: Evaluation Fundamentals
What constitutes a production-grade evaluation, how to build the dataset it requires, and how to define success metrics that can actually be measured.
- What Makes a Good Eval (4 min read)
- Building the Golden Dataset (5 min read)
- Success Metrics (4 min read)
Module 2: Testing Methodologies
Unit testing, regression testing, and adversarial testing — three disciplines that together constitute a complete prompt testing strategy.
- Unit Testing Prompts (4 min read)
- Regression Testing (4 min read)
- Adversarial Testing (4 min read)
Module 3: Evaluation at Scale
Automated evaluation pipelines, statistical rigor, and the failure patterns that cause evaluations to mislead rather than illuminate.
- Automated Evaluation Pipelines (4 min read)
- Statistical Significance in Prompt Testing (4 min read)
- Evaluation Failure Patterns (4 min read)