Generative Model Plugin Selection for Accurate Query Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current artificial intelligence systems are limited in their ability to answer diverse types of questions, often failing to provide accurate results for multifaceted user queries.
Innovation Solution
A method of information processing that utilizes a generative model and a target plugin in a cooperative mode to generate accurate answer results for various types of questions. The generative model receives input information, identifies the appropriate target plugin based on the question's requirements, and jointly processes the information with the plugin to produce a target answer result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single generative model is used to answer questions, then the system is simple to operate, but the accuracy for different types of questions deteriorates
Solution Approach 1:
The patent implements a plugin selection mechanism that enables a single generative model to adaptively perform multiple question-answering functions by dynamically selecting appropriate plugins based on question type. This allows the system to maintain operational simplicity while achieving high accuracy across diverse question types through multi-functionality.
2Measurement precision
If multiple specialized models are used for different question types, then the answer accuracy for specific question types is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple specialized question-answering capabilities into a single unified system by integrating multiple plugins with one generative model. The plugin selection mechanism merges the functionality of multiple specialized models while maintaining a single system architecture, thereby achieving high accuracy without proportionally increasing system complexity.
Solution Approach 2:
The system employs dynamic plugin selection based on question type classification. Instead of maintaining multiple static specialized models, the system dynamically activates only the necessary plugin for each specific question type, reducing overall system complexity while preserving specialized accuracy when needed.
3Speed
If a single generative model processes all questions, then the processing speed is fast, but the adaptability to different question types deteriorates
Solution Approach 1:
The patent implements preliminary question type classification before generating answers. By first identifying the question type and selecting the appropriate plugin in advance, the system prepares the processing path beforehand, maintaining fast processing speed while ensuring adaptability to different question types through pre-selected specialized plugins.
Data Source
AI summary
A method of information processing, an electronic device and a storage medium are provided. The method includes: receiving input information to be processed; acquiring a target answer result of the information to be processed, wherein the target answer result is generated based on a generative model and a target plugin, a cooperative mode in which the generative model and the target plugin generate the target answer result is related to an implementation requirement of a capability of the target plugin, and the target plugin is a plugin that matches with the information to be processed and is used to answer the information to be processed; and displaying the target answer result.