Why Evaluating AI Models Is Harder Than Building Them

Evaluating AI models is more complex than traditional software because outputs can be multiple and subjective. Benchmarks like GLUE and SuperGLUE quickly become obsolete as models improve, while metrics like perplexity require careful contextual interpretation. The chapter highlights the challenge of distinguishing genuine understanding from benchmark overfitting.