ai performance

TAU-bench is a benchmark that tests how well AI agents interact with users and tools in realistic, multi-step scenarios, measuring not just success but reliability across repeated trials.

A modeling issue where an AI system learns training data too precisely, reducing its ability to generalize. Managing overfitting ensures models perform reliably on new, unseen data.