DIALOG MANAGEMENT FOR LARGE LANGUAGE MODEL-BASED (LLM-BASED) DIALOGS

Organization Name

google llc

Inventor(s)

Martin Baeuml of Wollerau (CH)

Alexander Bailey of Wollerau (CH)

Jonas Bragagnolo of Affoltern am Albis (CH)

Florent D'halluin of Zurich (CH)

Trevor Strohman of Sunnyvale CA (US)

DIALOG MANAGEMENT FOR LARGE LANGUAGE MODEL-BASED (LLM-BASED) DIALOGS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240311575 titled 'DIALOG MANAGEMENT FOR LARGE LANGUAGE MODEL-BASED (LLM-BASED) DIALOGS

Simplified Explanation: The patent application relates to the dialog management of a large language model (LLM) used in generating natural language output during an ongoing conversation. The system's processor can receive and generate natural language-based input and output, respectively, and adjust the dialog context and response threshold as needed for optimal results.

Key Features and Innovation:

Dialog management of a large language model (LLM) in ongoing conversations
Processor receives and generates natural language-based input and output
Ability to modify dialog context and response threshold for improved output

Potential Applications: This technology can be applied in chatbots, virtual assistants, customer service systems, and any other conversational AI systems that require natural language processing.

Problems Solved: This technology addresses the challenges of maintaining context and generating coherent responses in ongoing dialogues with large language models.

Benefits:

Enhanced dialog management in conversational AI systems
Improved natural language processing in ongoing conversations
Better user experience in interactions with AI systems

Commercial Applications: The technology can be utilized in customer service chatbots, virtual assistants for businesses, and any other AI systems that require natural language understanding and generation.

Prior Art: Prior research in dialog management systems and natural language processing can provide insights into similar technologies and approaches in this field.

Frequently Updated Research: Stay updated on advancements in natural language processing, dialog management systems, and AI technologies to enhance the capabilities of this innovation.

Questions about Dialog Management of Large Language Models: 1. How does this technology improve the efficiency of dialog management in AI systems? 2. What are the potential challenges in implementing this technology in real-world conversational applications?

Original Abstract Submitted

implementations relate to dialog management of a large language model (llm) utilized in generating natural language (nl) output during an ongoing dialog. processor(s) of a system can: receive nl based input as part of the ongoing dialog, generate nl based output utilizing the llm, and cause the nl based output to be rendered. further, the processor(s) can receive subsequent nl based input as part of the ongoing dialog. in some implementations, the processor(s) can determine whether to modify a corresponding dialog context in generating subsequent nl based output, and modify the corresponding dialog context accordingly. for example, the processor(s) can restrict the corresponding dialog context, or supplant the corresponding dialog context with a corresponding curated dialog context. in additional or alternative implementations, the processor(s) can modify a corresponding nl based output threshold utilized in generating the subsequent nl based response to ensure the resulting nl based output is desirable.