Groundedness ist die Eigenschaft einer Modellausgabe, durch bestimmtes Quellenmaterial oder bereitgestellten Kontext gestützt zu sein. In generativer KI hilft Groundedness zu beurteilen, ob eine Antwort auf Evidenz zurückführbar ist statt auf ungestützte Modellgenerierung.
A property of a model whose output is based on (is "grounded on") specific source material. For example, suppose you provide an entire physics textbook as input ("context") to a large language model. Then, you prompt that large language model with a physics question. If the model's response reflects information in that textbook, then that model is grounded on that textbook. Note that a grounded model is not always a factual model. For example, the input physics textbook could contain mistakes.
A side-by-side comparison of Grounding and Groundedness. Understand the difference between the process of connecting outputs to sources and the property of an output being supported by evidence.
A side-by-side comparison of Factuality and Groundedness. Understand how the terms differ, when each applies, and what the distinction means for AI governance, system design, or assurance evidence.