USING LARGE LANGUAGE MODEL IN REDUCING EXTENT OF CALENDAR RELATED INTERACTION

    公开(公告)号:US20240144192A1

    公开(公告)日:2024-05-02

    申请号:US17978437

    申请日:2022-11-01

    Applicant: GOOGLE LLC

    Abstract: Some implementations process structured calendar data of an electronic calendar for a first user, to generate a natural language representation of the structured calendar data. Versions of those implementations further, in response to receiving a query determined to be relevant to the electronic calendar, prime a large language model (LLM) using a priming input (e.g., process the priming input using the LLM), where the priming input is based on the natural language representation of the structured calendar data. Following priming of the LLM using the priming input, some of those versions process, using the LLM, query input that is based on the query, to generate a LLM output and determine, based on the LLM output, a response to the query. The response can include a natural language response that can be rendered.

Patent Agency Ranking