Sanctuary Cognitive Systems Corporation (20240253220). ROBOT SYSTEMS, METHODS, CONTROL MODULES, AND COMPUTER PROGRAM PRODUCTS THAT LEVERAGE LARGE LANGUAGE MODELS simplified abstract

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ROBOT SYSTEMS, METHODS, CONTROL MODULES, AND COMPUTER PROGRAM PRODUCTS THAT LEVERAGE LARGE LANGUAGE MODELS

Organization Name

Sanctuary Cognitive Systems Corporation

Inventor(s)

James Gordon Wells of North Vancouver (CA)

Geordie Rose of Vancouver (CA)

Suzanne Gildert of Vancouver (CA)

ROBOT SYSTEMS, METHODS, CONTROL MODULES, AND COMPUTER PROGRAM PRODUCTS THAT LEVERAGE LARGE LANGUAGE MODELS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240253220 titled 'ROBOT SYSTEMS, METHODS, CONTROL MODULES, AND COMPUTER PROGRAM PRODUCTS THAT LEVERAGE LARGE LANGUAGE MODELS

The abstract of the patent application describes robot control systems that leverage large language models (LLMs) and omnichannel customer data to autonomously interact with customers. The robot identifies a customer, accesses their data from a database, generates a natural language query, and uses the LLM to provide responses to the customer.

  • Robot control systems utilize large language models (LLMs) and omnichannel customer data for autonomous customer interactions.
  • The robot identifies customers, accesses their data, generates natural language queries, and receives responses from the LLM.
  • Responses from the LLM are converted into audio signals and projected to the customer.
  • The interaction can continue bidirectionally, with the robot transcribing customer responses and querying the LLM for further responses.

Potential Applications: - Customer service automation - Personalized marketing campaigns - Virtual assistants for businesses

Problems Solved: - Streamlining customer interactions - Improving customer engagement - Enhancing personalized communication

Benefits: - Increased efficiency in customer interactions - Enhanced customer satisfaction - Improved data utilization for personalized experiences

Commercial Applications: Title: "AI-Powered Customer Interaction Systems for Enhanced Engagement" This technology can be used in call centers, online chat support, and retail environments to improve customer service and increase sales.

Questions about the technology: 1. How does the use of large language models improve customer interactions? Large language models enable robots to provide more personalized and contextually relevant responses to customers, enhancing the overall interaction experience.

2. What are the potential challenges in implementing this technology in real-world customer service environments? Implementing this technology may require significant data integration and system compatibility, as well as addressing privacy and security concerns.


Original Abstract Submitted

robot control systems, methods, control modules and computer program products that leverage one or more large language model(s) (llms) and a repository of omnichannel customer data in order to autonomously interact with a customer are described. a robot identifies a customer and accesses data about the customer from a database of omnichannel customer data. the robot generates a natural language (nl) query that includes customer data expressed in nl, contextual information expressed in nl, and a request for something to say to the customer. the llm provides something to say for the robot, which the robot converts into audio signals and projects to the customer. the interaction may continue bidirectionally, with the robot transcribing responses from the customer in nl and querying the llm for return responses.

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