公开(公告)号：US20240428937A1

公开(公告)日：2024-12-26

申请号：US18338003

申请日：2023-06-20

Applicant: Google LLC

Inventor： Vivek Natarajan ,  Karan Singhal ,  Shekoofeh Azizi ,  Alan Prasana Karthikesalingam ,  Tao Tu ,  Seyedeh Sara Mahdavi ,  Christopher Semturs

IPC: G16H50/20

Abstract: An aspect of the present disclosure provides an example method comprising: receiving an input query associated with a particular task domain of a plurality of available task domains; obtaining a machine-learned prompt component and a curated prompt component, wherein the machine-learned prompt component comprises a plurality of machine-learned prompt values for the plurality of available task domains, and wherein the curated prompt component comprises a plurality of exemplar prompt values corresponding to one or more embedded natural language exemplars for the particular task domain from domain experts; and generating an output responsive to the input query by processing a combined prompt and the input query using a pre-trained machine-learned model, wherein the combined prompt comprises the machine-learned prompt component and the curated prompt component.