Grounding in AI: Clear Definition + Examples (2026)
Grounding is the practice of tying AI output to verifiable external sources so answers are factual and citable.
2 articles published with this tag
Grounding is the practice of tying AI output to verifiable external sources so answers are factual and citable.
Hallucination is when an AI model generates confident but false information. It is the biggest risk in production LLM applications.