18374575. SESSION-BASED USER AWARENESS IN LARGE LANGUAGE MODELS (GOOGLE LLC)
SESSION-BASED USER AWARENESS IN LARGE LANGUAGE MODELS
Organization Name
Inventor(s)
Ramprasad Sedouram of Bangalore IN
SESSION-BASED USER AWARENESS IN LARGE LANGUAGE MODELS
This abstract first appeared for US patent application 18374575 titled 'SESSION-BASED USER AWARENESS IN LARGE LANGUAGE MODELS
Original Abstract Submitted
Implementations are described herein for using the information about user engagement with large language model (LLM) output as a subsequent input into an LLM, so that the LLM is able to provide, for rendition on one or more output devices, a subsequent output that is tailored to the user. In various implementations, based on one or more input device signals, a user engagement event with an element of a first LLM output generated using a LLM and rendered using one or more output devices may be detected. Additional information about the element of the first LLM output may be captured and used to generate at least part of a subsequent input prompt for the LLM. The subsequent input prompt may be processed using the LLM to generate a subsequent LLM output for rendition on one or more of the output devices.