AI evaluation methods serve different purposes. Some measure performance against known answers, others assess qualitative behavior, validate required structures, or test how a capability responds to complex and unexpected conditions. The appropriate method depends on what needs to be evaluated, whether an objectively correct result exists, the degree of judgment required, and the consequence of failure.

This toolkit provides a practical reference for selecting and combining evaluation methods based on the behavior you need to test. It is not intended to be an exhaustive catalog of AI evaluation techniques.

What's Included:

• Evaluation Method Selection Guide

• Metric & Quality Measures

• Validation Techniques