Google Inc.

Vikas Peswani

Michael Andrew Goodman

Wei Yu

Ágoston Weisz

Thang Minh Luong

Golnaz Ghiasi

Yifeng Lu

Sanil Jain

Amin Ghafouri

Rakesh Shivanna

Igor Petrovski

Evgeny Sluzhaev

Oscar Akerlund

Diana Avram

Komal Singh

Khyatti Gupta

Yaguang Li

Yu Qing Du

Apoorv Kulshreshtha

Dustin Tran

Implementations relate to managing multimedia content that is obtained by large language model(s) (LLM(s)) and/or generated by other generative model(s). Processor(s) of a system can: receive natural language (NL) based input that requests multimedia content, generate a response that is responsive to the NL based input, and cause the response to be rendered. In some implementations, and in generating the response, the processor(s) can process, using a LLM, LLM input to generate LLM output, and determine, based on the LLM output, at least multimedia content to be included in the response. Further, the processor(s) can evaluate the multimedia content to determine whether it should be included in the response. In response to determining that the multimedia content should not be included in the response, the processor(s) can cause the response, including alternative multimedia content or other textual content, to be rendered.

Multimedia content management for large language model(s) and/or other generative model(s)

Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Generating multi-modal response(s) through utilization of large language model(s)

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Mountain View, CA, United States of America

Vikas Peswani