IBM AI engineer Tejas Kumar outlines methods for building robust artificial intelligence evaluations, framing them as ahead-of-time unit tests. He demonstrates how calibrating language model judges against human datasets and policy retrieval prevents severe security and operational failures before production deployment.
FireBrief
FireBrief