AI Testing and Evaluation

A testing and evaluation methodology for AI and large language model applications. Unlike deterministic assertions in traditional software testing, it uses continuous scores (0–1) instead of binary pass/fail judgments, and employs dual-version management—separating the version under test from the evaluation version—to ensure result comparability.