Evaluation

Model Evaluation

Model evaluation measures how well models perform on specific tasks. Evaluation involves: selecting benchmarks, running tests, and analyzing results. Evaluation guides model selection and improvements. Multiple evaluation approaches exist: automated metrics, human judgment, user testing. Evaluation results drive development priorities. Understanding evaluation limitations is important (benchmarks don't capture everything). Evaluation is fundamental to building good models. Comprehensive evaluation prevents surprises.