What is a groundedness?
A property of a model whose output is based on (is "grounded on") specific source material.
groundedness explained in plain English
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.
Example
Practitioners refer to groundedness when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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