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Understand how AI systems are tested, scored, and compared. Learn to distinguish a useful evaluation result from a number that does not transfer to your workload.
Terms beginning with R
10 termsRAG evaluation
RAG evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRandom sampling
Random sampling is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRecall
Recall is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksReference answer
Reference answer is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRefusal evaluation
Refusal evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRelevance evaluation
Relevance evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRepresentative sample
Representative sample is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRetrieval evaluation
Retrieval evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksROUGE score
ROUGE score is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarksRubric-based evaluation
Rubric-based evaluation is a defined lens for examining AI system behavior with a stated task, evidence, and interpretation rule.
Evaluations and benchmarks