Leveraging inferred context to improve suggested messages
AssigneeMicrosoft Technology Licensing, LLC
InventorsPoonam Ganesh Hattangady, Susan Marie Grimshaw, Michael Ivan Borysenko
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AssigneeMicrosoft Technology Licensing, LLC
InventorsPoonam Ganesh Hattangady, Susan Marie Grimshaw, Michael Ivan Borysenko
Estimating the term…
Systems and methods for using a generative artificial intelligence (AI) model to generate a suggested draft reply to a selected message. A message generation system and method are described that use inferred context to improve the suggested draft reply message for the user. Various message data and additional context are obtained and included in a prompt provided to the AI model to improve suggested content. In some examples, the message data and additional context include a message thread history and previously sent messages, profile information of the sender and recipient(s) of the selected message, known relationship information between the sender and the user, etc. For instance, the user's preferred communication style and talking points can be inferred based on the profile data, relationship data, and the user's past communications with similar participants and used to tailor the suggested draft reply to the user.
A system for generating a suggested reply message using a generative artificial intelligence (AI) model, the system comprising:
A computer-implemented method for generating a suggested reply message using a generative artificial intelligence (AI) model, the method comprising:
A system for generating a suggested reply message using a generative artificial intelligence (AI) model, the system comprising:
Dependencies are inferred from the claim text.