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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 Reduction
AI Hallucinations
See also
Guardrails
Human-in-the-Loop
Ground Truth
Hyperparameter
Gradient Descent
In-Context Learning
Gradient
Generative AI
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Guardrails
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Human-in-the-Loop
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