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Home/Glossary/Hallucination
AI Glossary Term

What does “Hallucination” mean?

Definition

When a model generates fluent but false or unsupported information.

Related terms

Attention Mechanism
A model component that dynamically focuses on relevant parts of an input when producing an output.
False Negative
An incorrect prediction where a model misses a true positive case.
False Positive
An incorrect prediction where a model incorrectly flags a negative case as positive.
Inference
The runtime phase where a trained model generates predictions or outputs.
Overfitting
When a model memorizes training data and performs poorly on unseen inputs.
Vision-Language Model (VLM)
A multimodal model that jointly processes visual and textual information.

Learn more in our free guides

Chain-of-Verification for Hallucination ReductionAI Hallucinations

See also

GuardrailsHuman-in-the-LoopGround TruthHyperparameterGradient DescentIn-Context LearningGradientGenerative AI
PreviousGuardrailsNextHuman-in-the-Loop
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