公开(公告)号：US20240320445A1

公开(公告)日：2024-09-26

申请号：US18675840

申请日：2024-05-28

Applicant: GOOGLE LLC

Inventor： Shrestha Basu Mallick ,  Owen Lewis ,  Jaclyn Konzelmann ,  Christina Yang Choi ,  James Freedman ,  Jonathan Malmaud ,  Xin Xie ,  Brian Carver

IPC: G06F40/40

CPC classification number: G06F40/40

Abstract: Implementations described herein relate to attribution of a natural language (NL) based summary generated using a large language model (LLM). Processor(s) of a system can: receive NL based input associated with a client device, generate the NL based summary using the LLM, and process the NL based summary to determine whether a NL based summary segment of the NL based summary matches a dataset segment of a dataset that was utilized to initially train the LLM and/or to fine-tune the LLM. Further, the processor(s) can, in response to determining that the NL based summary segment matches the dataset segment, modify the NL based summary segment of the NL based summary to generate a modified NL based summary. Moreover, the processor(s) can cause the modified NL based summary to be rendered at the client device. The attribution of the NL based summary can be provided as a service to various third-parties.