Grounding
Constraining an answer to a specific, checkable source rather than the model's trained-in memory, typically by supplying retrieved passages and requiring the answer to cite them. A grounded system can still be wrong, but the error is now traceable to a document rather than buried in the weights.
Why exams ask this
Tested as the difference between a model answering from memory and a model answering from a supplied source it can be checked against. The correct answer usually names retrieval plus citation, not a prompt instruction asking the model to be accurate.
Relevant to
AI Fluency: Framework and FoundationsGenerative AI FundamentalsGenerative AI LeaderOCI Generative AI ProfessionalAI Agents CourseGenerative AI and LLMs, NCA-GENLAI Engineering Professional CertificateCertified Machine Learning Engineer, AssociateClaude Code in ActionClaude Certified Architect, Foundations
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