Concept

Hallucination

Confident model output that is factually wrong, fabricated, or unsupported by sources.

Definition

Hallucinations occur because language models optimise plausibility, not truth. They blend memorised patterns to fill gaps, producing invented citations, fake APIs, or wrong dates. Retrieval-augmented generation, grounding, and instruction tuning reduce — but do not eliminate — this failure mode.

Common use cases

  • Risk mitigation
  • Trust calibration
  • Safety review

Related terms

    Hallucination — AI Glossary | Railwail