Lesson 1707 of 2116
AI tools: evaluation platforms and what to look for
An eval platform is worth it once you have a real eval set. Without one, the platform doesn't save you — the dataset is the work.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2evaluation platforms
- 3graders
- 4dataset versioning
Concept cluster
Terms to connect while reading
Section 1
The premise
Eval platforms add value by managing datasets, graders, and run history at scale. They don't substitute for the curatorial work of building a representative eval set in the first place.
What AI does well here
- Run scored evaluations against fixed datasets when one is provided
- Compare runs across prompt or model versions
- Aggregate llm-judge or regex-based grades
What AI cannot do
- Build a meaningful eval set for your domain on its own
- Decide what 'good' means for subjective tasks
- Replace human spot-checking on critical flows
Key terms in this lesson
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