Hallucination
Fluent output that is not grounded in any source. It is a property of next-token prediction, not a bug specific to one model, which is why grounding beats instructing the model to "only say true things" in the prompt.
Why exams ask this
Exams pair this with retrieval and with citation requirements. A common distractor claims a larger or newer model removes the problem outright, when it only lowers the rate. The fix an exam wants is grounding, not a bigger model.
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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