LLM Interface Navigation for Direct Network Data Access
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Solution Overview
Problem
Existing user interfaces in communication networks require users to navigate through multiple screens and become familiar with their layout, which is time-consuming and resource-intensive, especially when the layout is updated or unfamiliar to the user.
Innovation Solution
An intelligent navigation and interface generation system that utilizes a large language model to generate a structured view descriptor based on user requests, allowing direct access to desired data or functionality through a chatbot interface, bypassing manual navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users navigate through multiple screens to access network data, then they can locate desired information, but navigation time and resource consumption increase
Solution Approach 1:
The patent introduces a chatbot as an intermediary between the user and the network data. Instead of requiring users to manually navigate through multiple screens, the chatbot receives natural language queries and automatically retrieves and presents the desired information, thereby eliminating navigation time and effort while maintaining ease of operation
Solution Approach 2:
The system segments the complex navigation task into separate functional components: the chatbot handles natural language processing, the backend system handles data retrieval, and the interface handles presentation. This segmentation allows each component to specialize in its function, improving overall efficiency while maintaining user-friendly operation
2Productivity
If users become familiar with user interface layout, then they can access data efficiently, but the interface must remain static which reduces adaptability to updates
Solution Approach 1:
The patent implements a dynamic interface where the chatbot can adapt its responses and the information it presents based on user needs and interface updates. Rather than requiring users to relearn static layouts, the chatbot dynamically adjusts to provide efficient data access while accommodating interface changes, thereby maintaining both productivity and adaptability
Solution Approach 2:
The chatbot serves multiple functions: it acts as a navigation assistant, a data retrieval system, and an adaptive interface that can handle various types of queries. This multi-functionality allows the system to maintain high data access efficiency while being flexible enough to accommodate interface updates and different user needs
Data Source
AI summary
This disclosure provides a method and system for an intelligent navigation and interface generation system (INS). This system receives a request to access data describing a communications network, via a first screen of a user interface. A prompt for instructing a large language model (LLM) to generate a structured view descriptor that specifies a second screen of a plurality of screens, of the user interface and a set of data to query for display in the second screen is constructed. The prompt is provided to the LLM to generate the structured view descriptor based on the prompt. The structured view descriptor is provided to the user interface to display a new version of the second screen responsive to the request.