Data

Hallucination

A hallucination is when an AI model generates text that is fluent, confident, and factually wrong. Causes include training-data gaps, outdated information, ambiguous prompts, and absence of retrieval. Mitigation patterns include RAG, citation requirements, and constrained generation.

Related terms

← Back to glossary