Grounding
Also known as: AI Grounding, Factual Grounding, Knowledge 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.
Sources & References
Related Terms
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.
Knowledge Base
A structured repository of information, facts, and relationships used by AI systems as a source of context and ground truth for answering queries and making decisions.
Responsible AI
The practice of designing, developing, deploying, and using AI systems in ways that are ethical, transparent, fair, accountable, and aligned with human rights and societal values.
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.