18299352. RESPONSE GENERATION USING A RETRIEVAL AUGMENTED AI MODEL simplified abstract (Microsoft Technology Licensing, LLC)

RESPONSE GENERATION USING A RETRIEVAL AUGMENTED AI MODEL

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Yinghua Qin of Redmond WA (US)

RESPONSE GENERATION USING A RETRIEVAL AUGMENTED AI MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18299352 titled 'RESPONSE GENERATION USING A RETRIEVAL AUGMENTED AI MODEL

• Simplified Explanation:

The patent application describes a system that uses retrieval augmented artificial intelligence to generate responses to queries. It involves generating feature vectors, comparing them, retrieving augmentation information, and providing prompts to a large language model for generating responses.

• Key Features and Innovation:

- Utilizes retrieval augmented artificial intelligence - Generates feature vectors based on queries - Compares feature vectors to determine subset that satisfy a condition - Retrieves augmentation information for the subset - Provides prompts to a large language model for response generation

• Potential Applications:

- Natural language processing - Chatbots and virtual assistants - Information retrieval systems - Customer service automation

• Problems Solved:

- Enhances response generation accuracy - Improves efficiency in handling queries - Enables more personalized responses

• Benefits:

- Faster response times - Enhanced user experience - Increased automation capabilities

• Commercial Applications:

"Enhancing Customer Service Automation with Retrieval Augmented AI Technology"

• Prior Art:

Prior art related to this technology may include research papers on natural language processing, artificial intelligence, and response generation systems.

• Frequently Updated Research:

Stay updated on advancements in natural language processing, artificial intelligence, and response generation systems to enhance the capabilities of retrieval augmented AI technology.

Questions about retrieval augmented artificial intelligence: 1. How does retrieval augmented AI technology improve response generation accuracy? - Retrieval augmented AI technology enhances response generation accuracy by comparing feature vectors and retrieving augmentation information to provide more relevant and personalized responses.

2. What are the potential applications of retrieval augmented AI technology? - Potential applications of retrieval augmented AI technology include natural language processing, chatbots, virtual assistants, information retrieval systems, and customer service automation.

Original Abstract Submitted

Systems, methods, apparatuses, and computer program products are disclosed for using retrieval augmented artificial intelligence to generate a response to a query. A first feature vector is generated based at least on the query. The first feature vector is compared to a plurality of second feature vectors to determine a subset of the second feature vectors that satisfy a predetermined condition. Augmentation information corresponding to the determined subset of second feature vectors are retrieved. An augmented prompt, generated based on the query and the retrieved augmentation information, is provided to a large language model. A response generated by the large language model is received.