公开(公告)号：US20250028744A1

公开(公告)日：2025-01-23

申请号：US18714673

申请日：2022-01-07

Applicant: Google LLC

Inventor： Matthew Sharifi ,  Maryam Karimzadehgan ,  Lukas Zilka ,  Julian Odell ,  Jesper Andersen

IPC: G06F16/332 ,  G06F16/33 ,  G06F40/40 ,  G06N3/006 ,  G06N20/00

Abstract: Systems and methods for generating a domain-specific conversational automated assistant. In some examples, a conversational language model is used to generate a target answer and a target action recommendation in response to each of a set of in-domain training questions. In some examples, the conversational language model is further used to generate follow-up questions to one or more of its generated target answers, and to then generate a target answer and target action recommendation to each generated follow-up question. In some examples, the processing system also generates a set of out-of-domain training examples including an out-of-domain question, a predetermined target answer, and a predetermined target action recommendation. The automated assistant may then be trained to predict the generated target answers and target action recommendations based on the associated training question or generated follow-up question, as well as any prior questions and answers in the conversation.