公开(公告)号：US20240411798A1

公开(公告)日：2024-12-12

申请号：US18208601

申请日：2023-06-12

Applicant: GOOGLE LLC

Inventor： Kyle Gerard ,  Carsten Isert ,  Florent D'Halluin

IPC: G06F16/435 ,  G10L13/08

Abstract: Implementations described herein relate to causing a client device to initiate streaming of multimedia content and causing the client device to render dialog content before and/or during the streaming of the multimedia content. Processor(s) can generate a structured large language model (LLM) query that can be processed to generate LLM output. The LLM output can include, for example, an indication of the multimedia content and the dialog content. In some implementations, the processors(s) can determine when to generate an additional structured LLM query to continue the streaming of the multimedia content, and proactively cause additional LLM output to be generated based on the additional structured LLM query. In additional or alternative implementations, the processor(s) can determine when to cause the dialog content to be rendered with respect to the streaming of the multimedia content.

公开(公告)号：US20240311575A1

公开(公告)日：2024-09-19

申请号：US18123141

申请日：2023-03-17

Applicant: GOOGLE LLC

Inventor： Martin Baeuml ,  Alexander Bailey ,  Jonas Bragagnolo ,  Florent D'Halluin ,  Trevor Strohman

IPC: G06F40/35 ,  G06N20/00

CPC classification number: G06F40/35 ,  G06N20/00

Abstract: Implementations relate to dialog management of a large language model (LLM) utilized in generating natural language (NL) output during an ongoing dialog. Processor(s) of a system can: receive NL based input as part of the ongoing dialog, generate NL based output utilizing the LLM, and cause the NL based output to be rendered. Further, the processor(s) can receive subsequent NL based input as part of the ongoing dialog. In some implementations, the processor(s) can determine whether to modify a corresponding dialog context in generating subsequent NL based output, and modify the corresponding dialog context accordingly. For example, the processor(s) can restrict the corresponding dialog context, or supplant the corresponding dialog context with a corresponding curated dialog context. In additional or alternative implementations, the processor(s) can modify a corresponding NL based output threshold utilized in generating the subsequent NL based response to ensure the resulting NL based output is desirable.