RAI Evaluation Overview
Master RAI evaluation as a discipline. Learn the evaluation taxonomy (capability, fairness, robustness, safety, privacy, transparency, environmental), benchmark choice (HELM, BIG-Bench, MLPerf, sector-specific), custom-eval design (where benchmarks are inadequate, which is most of the time), eval reproducibility (versioned data, fixed seeds, locked configs), and reporting that lets non-engineers understand where the system stands.
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Work through these 6 lessons in order, or jump to whichever is most relevant.
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