Iris 1: define the retrieval and answer-evaluation contract
Advanced AI evaluation · Separate relevance, evidence support, answerability and user decisions before choosing a metric.
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Advanced / Rehearse reliable AI releases ↗Advanced / Evaluate AI evidence and retrieval ↗Advanced / Reason about cause and effect ↗Advanced / Evaluate useful forecasts ↗Advanced / Build reliable analytics models ↗Advanced / Start the Meridian evaluation labs ↗15 min / Solve a SQL challenge ↗15 min / Diagnose a misleading total ↗45 min / Prepare an honest résumé ↗
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Advanced AI & retrieval evaluation
Ranked evidence, grounded-claim review, no-answer cases, abstention and release reasoning.
Iris 2: evaluate ranked retrieval with honest denominators
Advanced retrieval lab · Calculate cutoff metrics, freeze development selection and inspect multi-evidence misses.
Explore & practiseIris 3: audit evidence support and abstention together
Advanced AI review lab · Inspect atomic claims, source applicability and withheld answers without treating labels as an automated judge.
Explore & practiseIris 4: defend an AI evaluation and release recommendation
Advanced portfolio and interview exercise · Turn retrieval failures, evidence reviews and test limitations into a clear decision memo.
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