Device sensor information as context for interactive chatbot
AssigneeGoogle Inc.
InventorAlexander Bailey
Life of this patent
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AssigneeGoogle Inc.
InventorAlexander Bailey
Estimating the term…
Implementations relate to processing, utilizing a large language model (“LLM”), input that is based on sensor data, from sensor(s) of a client device, to generate LLM output—and causing output, that is based on the generated LLM output, to be rendered by an interactive chatbot. The input that is based on sensor data and that is processed by the LLM in generating the LLM output can be, or can include, non-acoustic input based on non-acoustic sensor data. For example, an instance of LLM output can be generated based on processing of non-acoustic input using the LLM and without any processing of acoustic input (that is based on acoustic sensor data) using the LLM. As another example, an instance of LLM output can be generated based on processing, using the LLM, both non-acoustic input that is based on non-acoustic data and acoustic input that is based on acoustic sensor data.
A method implemented by one or more processors, the method comprising:
A method implemented by one or more processors, the method comprising:
A method implemented by one or more processors, the method comprising:
Dependencies are inferred from the claim text.