Evaluation is the AI lane for measuring model quality, robustness, failure modes, and comparative behavior in a disciplined way.
Use this category for:
- model evaluation, benchmarking, red-teaming, and quality measurement
- how to assess model behavior and compare systems
- evaluation methods that support trust in AI outputs
Good topics here:
- benchmark design and evaluation criteria
- red-teaming and failure analysis
- ways to measure model behavior responsibly
If your topic is broader than this subcategory, use AI instead.