Leveraging generative artificial intelligence agents to facilitate user-centric, goal-based evaluations of applications

Abstract

Aspects of the present disclosure relate to evaluating performance of a generative machine learning model. Embodiments include using a plurality of generative machine learning models to generate evaluation questions, wherein each of the generative machine learning models is configured to use a given persona for generating one or more of the evaluation questions. Embodiments further include providing the evaluation questions as input to a target application. Embodiments further include generating an indication of a level of performance of the target application based on evaluating an answer generated in response to a question of the evaluation questions.

Dependencies are inferred from the claim text.