LESSON 3.3
Guardrails and evaluation
Learn key techniques and workflows in Building AI Apps with LLMs.
7m
intermediate
15,476 students
Overview
Without an evaluation set you cannot tell an improvement from a regression. Guardrails then enforce the limits your evaluation exposed.
In this lesson you will:
- Build a small, honest evaluation set early
- Score changes against it before shipping
- Enforce boundaries the model must not cross
Pro Tip
Thirty real examples you curated beat a thousand you generated with the same model you are testing.