Invention Publication
- Patent Title: USING LARGE LANGUAGE MODEL IN REDUCING EXTENT OF CALENDAR RELATED INTERACTION
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Application No.: US17978437Application Date: 2022-11-01
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Publication No.: US20240144192A1Publication Date: 2024-05-02
- Inventor: Felix Weissenberger , Eric Stavarache , Henry Dlhopolsky
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06F3/0482 ; G06F40/166 ; G06F40/35 ; G06F40/40

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.
Public/Granted literature
- US2173423A Carbonic acid derivatives Public/Granted day:1939-09-19
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