Hallucination

A hallucination is fluent, plausible output that is not backed by real data. Because a language model generates a likely continuation rather than retrieving verified facts, it can invent names, numbers, citations, or function signatures that look correct but are wrong.

Grounding techniques (RAG, tool use, citing sources) reduce hallucination by forcing answers to lean on retrieved evidence rather than the model's memory alone.