Related terms
An evaluation metric that measures whether an AI system's output is fully supported by the provided input, retrieved context, or source material without introducing unsupported or fabricated information.
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.
CorrectnessA metric that measures whether an AI system's output is factually accurate, logically valid, and satisfies the intended task or expected result.