Google Inc.

Apoorv Kulshreshtha

Michael Andrew Goodman

Wei Yu

Ágoston Weisz

Thang Minh Luong

Golnaz Ghiasi

Yifeng Lu

Amin Ghafouri

Sanil Jain

Vikas Peswani

Igor Petrovski

Evgeny Sluzhaev

Oscar Akerlund

Rakesh Shivanna

Yaguang Li

Yu Qing Du

Dustin Tran

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

Apoorv Kulshreshtha