Multilingual Device Instruction Querying with Manual-Guided Prompts
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Solution Overview
Problem
Existing AI tools struggle to provide accurate and efficient operating instructions for electronic devices, especially when users encounter unfamiliar functions, and often result in vague or inaccurate responses.
Innovation Solution
An instruction query system that translates non-English queries into English, utilizes high-relevance token vectors to generate interactive prompts, and translates back into the user's language, leveraging pre-stored token vectors from an English user manual to provide precise operating instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If existing AI tools are used to provide operating instructions, then the response speed is improved, but the accuracy and specificity of the information is worsened
Solution Approach 1:
The patent introduces an intermediary processing layer between the user query and the AI model. This layer includes query analysis, relevance scoring, and retrieval of specific manual sections before generating the final response. The intermediary ensures that the AI model receives structured, context-rich input, improving both response speed and information accuracy simultaneously.
Solution Approach 2:
The system performs preliminary actions by pre-processing and indexing the user manual content before queries are submitted. The manual is segmented into structured sections with metadata, and the system pre-loads relevant contexts into memory. This preliminary preparation enables fast, accurate responses without requiring the AI model to process entire manuals during query time.
2Power
If cloud-based AI tools are used, then the processing capability is improved, but the network dependence is worsened
Solution Approach 1:
The patent segments the query processing functionality into modular components that can be distributed between cloud and local environments. The system separates the heavy AI model processing (cloud-based) from the query analysis, manual retrieval, and response formatting (can be local). This segmentation allows the system to leverage cloud processing power while enabling offline operation for basic queries through local manual storage.
3Adaptability or versatility
If broad data sources are used, then the coverage is improved, but the specificity for particular questions is worsened
Solution Approach 1:
The patent applies local quality by treating different sections of the user manual with different processing qualities. Frequently queried sections are pre-processed and stored in high-access formats, while less common sections remain in compressed storage. The system dynamically adjusts the retrieval and processing depth based on the specific query type, ensuring high specificity for common questions while maintaining broad coverage for rare queries.
Data Source
AI summary
An instruction query method, a computer program product, and an associated query system are provided. A software program is stored in the computer program product, and the software program performs the instruction query method. The instruction query method includes the following steps. Firstly, a language translator translates a non-English query string into an English query string according to a language identification code. Then, a prompt tuning module transforms the English query string into an English interactive prompt string according to at least one high-relevance token vector. The at least one high-relevance token vector relates to the operating instructions of an electronic device. Afterward, the language translator translates an English reply string into a non-English reply string according to the language identification code. The English reply string is generated based on inferences made from the English interactive prompt string.