Microsoft Technology Licensing, LLC (20240296276). OPTIMIZING DATA TO IMPROVE LATENCY simplified abstract

OPTIMIZING DATA TO IMPROVE LATENCY

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Poonam Ganesh Hattangady of Seattle WA (US)

Adam Douglas Troy of Bothell WA (US)

Michael Ivan Borysenko of Brighton (CA)

Susan Marie Grimshaw of Kirkland WA (US)

Caleb Whitmore of San Francisco CA (US)

OPTIMIZING DATA TO IMPROVE LATENCY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240296276 titled 'OPTIMIZING DATA TO IMPROVE LATENCY

Simplified Explanation: The patent application describes systems and methods for using a generative artificial intelligence model to generate a suggested draft reply to a selected message. The system optimizes input provided to the AI model to ensure the most relevant information is generated in the reply.

Key Features and Innovation:

• Utilizes a generative AI model to suggest draft replies to messages.
• Optimizes input prompts to the AI model for relevance and efficiency.
• Reduces latency in processing by including and formatting relevant information in the input prompt.

Potential Applications: This technology could be applied in email response systems, customer service chatbots, and social media messaging platforms.

Problems Solved: Addresses the challenge of generating relevant and timely responses to messages by optimizing input prompts to a generative AI model.

Benefits:

• Improves efficiency in generating draft replies.
• Enhances the relevance of responses to messages.
• Reduces latency in processing input prompts.

Commercial Applications: The technology could be used in customer service automation, email marketing tools, and social media management platforms to streamline communication processes and improve response quality.

Prior Art: Researchers may want to explore existing AI models for message generation and response systems to understand the evolution of this technology.

Frequently Updated Research: Stay updated on advancements in natural language processing and AI technologies to enhance the capabilities of generative AI models for message generation.

Questions about Message Generation Technology: 1. How does this technology improve the efficiency of generating draft replies to messages? 2. What are the potential limitations of using a generative AI model for message generation?

Original Abstract Submitted

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.