Once the evaluation system (datasets + scoring) is in place, it unlocks three workflows.
Experimental comparisons
- Quickly try different prompts or parameters, test them on your datasets, and see if things get better or worse
3:48. - Lets you objectively decide which model to choose or which prompt works better
3:48.
Stress-testing and red-teaming
- Add more niche test scenarios as the product matures
4:04. - Goal: check the model correctly handles unexpected, inappropriate, or risky inputs
4:04.
Regression testing
- Goal: make sure fixing one thing doesn't break something else
4:04. - LLMs can be surprisingly brittle: small prompt tweaks can have unexpected side effects, so after any change verify that responses stay the same for other scenarios
4:21. - Technique: replay production data (e.g., from the past week) and compare what would have changed under a different prompt
4:21.
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