18123141. DIALOG MANAGEMENT FOR LARGE LANGUAGE MODEL-BASED (LLM-BASED) DIALOGS simplified abstract (Google LLC)
Contents
DIALOG MANAGEMENT FOR LARGE LANGUAGE MODEL-BASED (LLM-BASED) DIALOGS
Organization Name
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 18123141 titled 'DIALOG MANAGEMENT FOR LARGE LANGUAGE MODEL-BASED (LLM-BASED) DIALOGS
Simplified Explanation: The patent application relates to managing dialog in a large language model used for generating natural language output during an ongoing conversation. The system can receive input in natural language, generate responses using the language model, and display the output. It can also adjust the dialog context and response threshold based on subsequent input to improve the quality of the responses.
Key Features and Innovation:
- Dialog management in a large language model during ongoing conversations
- Receiving natural language input and generating responses using the language model
- Adjusting dialog context and response threshold based on subsequent input for better responses
Potential Applications: This technology can be applied in chatbots, virtual assistants, customer service systems, and other conversational AI platforms.
Problems Solved: The technology addresses the challenge of maintaining context and improving the quality of responses in ongoing dialogues with language models.
Benefits:
- Enhanced dialog management in language models
- Improved natural language response generation
- Better user experience in conversational AI systems
Commercial Applications: The technology can be used in customer service chatbots, virtual assistants for businesses, and AI-powered communication tools for various industries.
Prior Art: Researchers can explore existing patents and publications related to dialog management in language models and natural language processing.
Frequently Updated Research: Stay updated on advancements in natural language processing, dialog systems, and AI technologies for ongoing improvements in dialog management.
Questions about Dialog Management in Language Models: 1. How does this technology improve the quality of responses in ongoing dialogues? 2. What are the potential applications of this innovation in conversational AI systems?
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.
