Hallucination

Appears in 1 paper · 4 tutorials

The phenomenon where a language model generates plausible-sounding but factually incorrect or entirely made-up information.

As used in Paper 12 — Language Models are Few-Shot Learners →

The phenomenon where a language model generates plausible-sounding but factually incorrect or entirely made-up information. The model learns patterns from text, not ground truth, so sometimes generates false facts confidently.

As used in AI Agents →

When a model confidently makes something up (fake facts, sources, or function names).

As used in Prompt Engineering →

A confident, fluent, but wrong or made-up output — a side effect of the model predicting the next plausible token.

As used in Retrieval-Augmented Generation (RAG) →

A confident, fluent, but wrong or made-up output; a side effect of "predict the next plausible token."

As used in AI Production Engineering →

When an AI confidently states something false as if it were true. A core AI failure mode. (Mod 0, 8)