Fact Checking
Also called: Factual Verification
The process of verifying the factual accuracy of AI-generated content by comparing claims against trusted sources, evidence, or authoritative knowledge before or after a response is produced.
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Related terms
The process of identifying AI-generated outputs that contain fabricated, inaccurate, or unsupported information by comparing responses against trusted sources, retrieved context, or established facts before or after they are presented.
Retrieval-Augmented GenerationRAGAn architectural pattern that enhances generative model responses by retrieving relevant information from external knowledge bases.
Reference-based EvaluationAn evaluation method that measures model output quality by comparing generated responses against ground-truth reference data or golden datasets.
Content FilteringThe process of detecting, blocking, or modifying content that violates safety policies, compliance requirements, or application rules.