Microsoft Technology Licensing, LLC

Tashfeen Ahmed

Poonam Ganesh Hattangady

Zhang Li

Susan Marie Grimshaw

Siqing Chen

Jesse Alexander Freitas

Mahaveer Bhavarlal Kothari

Michael Ivan Borysenko

Caleb Whitmore

Alyssa Rachel Mayo

Warren Anthony Aldred

Christine Lauren Mayer

Bhavuk Jain

Cheng Yang

Aleksey Aleksandrovich Sokolov

Saket Kumar

Olivier Michel Nicolas Gauthier

Ravi Teja Koganti

Utkarsh Garg

A data processing system includes: a processor; a memory containing programming instructions for execution by the processor; and a network interface for communicating with an Artificial Intelligence (AI) engine. The programming instructions include an application for generating written content, the application having a function to generate and submit a structured query regarding the written content to the AI engine to generate feedback on an assessed quality of the written content, the structured query structured to prompt for feedback in a variety of specified categories for the written content. The application further includes a user interface to display the feedback on the written content and provide an option to a user to implement the feedback to revise the written content.

Systems and methods for writing feedback using an artificial intelligence engine

Systems and methods for using a generative artificial intelligence (AI) model using a multi-turn process to generate a suggested draft reply to a selected message. A first turn of the multi-turn process uses a shorter prompt including at least a portion of the body of the selected message and that requests multiple draft replies from the AI model. The resulting AI-generated draft replies are shortened, summarized, and/or otherwise converted into a plurality of shortened summaries that are presented as reply options to a user. Upon selecting a shortened summary, a more robust prompt is generated in a second turn with the AI model with the selected reply option to generate a more complex suggested draft reply to the selected message. Additionally, various customization options are provided, which when selected, reframe a query presented to the AI model to generate a more relevant and personalized response.

Efficient multi-turn generative AI model suggested message generation

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Dublin, Ireland

Tashfeen Ahmed