Generative AI Media Platform for Automated Television Troubleshooting
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Solution Overview
Problem
Users face challenges in troubleshooting technical issues with television devices, as existing methods such as web searches and manufacturer support are inefficient and cumbersome.
Innovation Solution
A system that utilizes a calibrated large language model to receive user inputs about technical issues and generates prompt responses with solutions, which can be executed by the television device itself or the user, using a media application interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users perform web searches or call manufacturer support to troubleshoot technical issues, then they can obtain troubleshooting information, but the process is inefficient and cumbersome
Solution Approach 1:
The television device automatically detects technical issues and generates troubleshooting requests without user intervention. The system self-services by autonomously identifying problems, formulating diagnostic queries, and executing troubleshooting procedures, eliminating the need for users to manually search or contact support.
Solution Approach 2:
The system pre-calibrates the large language model with extensive troubleshooting knowledge before actual use. Diagnostic data and troubleshooting procedures are prepared in advance, enabling rapid response when issues occur without requiring real-time information gathering.
2Measurement precision
If a large language model is calibrated with extensive troubleshooting data, then solution accuracy improves, but system complexity increases
Solution Approach 1:
The patent introduces a specialized intermediary layer between the user and the large language model, consisting of diagnostic data processors and calibration modules. This intermediary handles the complexity of model calibration and data processing, presenting simplified interfaces to users while maintaining high diagnostic accuracy through sophisticated backend processing.
3Ease of operation
If the system automatically executes troubleshooting procedures, then user interaction is reduced, but the extent of automation increases system complexity
Solution Approach 1:
The system employs dynamic automation where the level of automated execution adjusts based on the complexity of the detected issue and user preferences. Simple issues are fully automated, while complex problems may present multiple options to the user, allowing the system to adapt its automation程度 to balance ease of operation with appropriate user control.
Data Source
AI summary
A device may receive, via a user interface of a media application, information (e.g., a natural language query, image data, and/or video data) about a technical issue of a television device. A device may generate a prompt with a request to identify a technical solution for solving the technical issue. A device may receive, from a large language model, a prompt response with information (e.g., text, image, and/or video data) about the technical solution. A device may display the technical solution on the user interface of the media application.