公开(公告)号：US20240296276A1

公开(公告)日：2024-09-05

申请号：US18117314

申请日：2023-03-03

申请人： Microsoft Technology Licensing, LLC

发明人： Poonam Ganesh HATTANGADY ,  Adam Douglas TROY ,  Michael Ivan BORYSENKO ,  Susan Marie GRIMSHAW ,  Caleb WHITMORE

IPC分类号： G06F40/166 ,  G06F3/0484 ,  G06F40/103 ,  G06F40/279 ,  G06F40/58 ,  G06N3/0475 ,  G06N3/09

CPC分类号： G06F40/166 ,  G06F3/0484 ,  G06F40/103 ,  G06F40/279 ,  G06F40/58 ,  G06N3/0475 ,  G06N3/09

摘要： 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 optimize input that is provided to the AI model so that it provides the most relevant information. In some examples, input prompts to the AI model are limited in size and latency can be impacted based on the size of the input provided to the AI model. Thus, the method and system identify, include, and format relevant information in an input prompt. The prompt reduces latency by the generative AI model in processing the prompt and may also lead to more relevant results produced by the generative AI model.

公开(公告)号：US20240297856A1

公开(公告)日：2024-09-05

申请号：US18600199

申请日：2024-03-08

申请人： Microsoft Technology Licensing, LLC

发明人： Poonam Ganesh HATTANGADY ,  Susan Marie GRIMSHAW ,  Michael Ivan BORYSENKO

IPC分类号： H04L51/02 ,  G06F3/0481 ,  G06F3/04842 ,  G06F40/166 ,  G06F40/205 ,  G06F40/284 ,  G06F40/40

CPC分类号： H04L51/02 ,  G06F3/0481 ,  G06F3/04842 ,  G06F40/166 ,  G06F40/284 ,  G06F40/40 ,  G06F40/205

摘要： 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.

公开(公告)号：US20240296278A1

公开(公告)日：2024-09-05

申请号：US18585995

申请日：2024-02-23

申请人： Microsoft Technology Licensing, LLC

发明人： Susan Marie GRIMSHAW ,  Poonam Ganesh HATTANGADY ,  Caleb WHITMORE ,  Tashfeen AHMED ,  Ravi Teja KOGANTI ,  Michael Ivan BORYSENKO

IPC分类号： G06F40/166 ,  G06F3/0482 ,  G06F3/04847 ,  G06F40/205 ,  G06F40/40 ,  G06N3/0475 ,  G06N3/09

CPC分类号： G06F40/166 ,  G06F3/0482 ,  G06F3/04847 ,  G06F40/205 ,  G06F40/40 ,  G06N3/0475 ,  G06N3/09

摘要： 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.

公开(公告)号：US20240296275A1

公开(公告)日：2024-09-05

申请号：US18117222

申请日：2023-03-03

申请人： Microsoft Technology Licensing, LLC

发明人： Caleb WHITMORE ,  Susan Marie GRIMSHAW ,  Poonam Ganesh HATTANGADY

IPC分类号： G06F40/166 ,  G06F40/106 ,  H04L51/42

CPC分类号： G06F40/166 ,  G06F40/106 ,  H04L51/42

摘要： 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 guardrails that prevent unnecessary AI model processing and accidental sending of an AI model-generated draft. In some examples, draft reply-generation is limited to a subset of messages (e.g., focused, non-confidential) and triggering of the draft reply generation is performed only after user interaction criteria are satisfied. In some examples, a confirmation message is presented when the draft reply is attempted to be sent with no changes or quickly after the draft is generated. For instance, the guardrails limit the number of times the AI model is invoked to generate suggested replies and further prevents users from accidentally sending drafts generated from the AI model.