Using a trained model to process new inputs and create new, unknown outputs. Unlike classification, recommendation, or extraction systems, generation is not constrained to predefined categories; the space of possible outputs is effectively unbounded. Generative responses will frequently include information provided as part of the prompt or from the training inputs.