Hallucination
Also known as: AI Hallucination, Confabulation, Model Hallucination
When an AI model generates information that sounds plausible but is factually incorrect, fabricated, or not supported by its training data or provided context.
Sources & References
National Institute of Standards and Technology
Google Cloud
Related Terms
Context Window
The maximum amount of text (measured in tokens) that a large language model can process in a single interaction, encompassing both the input prompt and the generated output. Managing context windows effectively is critical for enterprise AI deployments where complex queries require extensive background information.
Grounding
The process of connecting AI model responses to verified factual information, source documents, or real-world data to ensure outputs are accurate and substantiated.
Large Language Model
A type of AI model trained on vast amounts of text data that can understand, generate, and manipulate human language, typically based on the transformer architecture with billions of parameters.
Retrieval-Augmented Generation
A technique that enhances AI model outputs by retrieving relevant information from external knowledge sources and incorporating it into the model's context before generating a response.