Why AI Evaluation Is So Hard: Non‑Determinism, Human‑Like Challenges, and Benchmark Limits
This module explains why assessing native AI applications is difficult, covering non‑deterministic outputs, subjective quality, context dependence, long‑tail scenarios, static benchmark shortcomings, and the trade‑offs between evaluation cost, speed, and thoroughness, with a practical e‑commerce case study.
