GENERATING TAILORED MULTI-MODAL RESPONSE(S) THROUGH UTILIZATION OF LARGE LANGUAGE MODEL(S) AND/OR OTHER GENERATIVE MODEL(S)

Abstract: implementations relate to generating tailored multi-modal response(s) through utilization of large language model(s) (llm(s)). in some implementations, processor(s) of a system can: receive natural language (nl) based input indicative of a request for a set of slides to be generated, generate a multi-modal response, using an llm, that is responsive to the nl based input, the multi-modal response comprising a generated set of slides, and cause the multi-modal response to be rendered at the client device of the user. in additional or alternative implementations, the nl based input can be indicative of a request for assistance with completing a particular task. in these implementations, the processor(s) can generate the multi-modal response comprising assistive content for assisting the user in performing the particular task. in various implementations, the llm can be fine-tuned prior to receiving the nl based input.

Inventor(s): Sanil Jain, Marcelo Menegali, Thang Luong, Golnaz Ghiasi, Quoc Le, Aaron Cohen, Elle Chae

CPC Classification: G06F40/20 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ))

Search for rejections for patent application number 20250217585