Generative AI Question Answering System with Provider Attribute Display
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Solution Overview
Problem
Existing technologies face challenges in facilitating the use of generative artificial intelligence models, particularly in effectively transferring and utilizing tacit knowledge between users with different skill levels and across various tasks.
Innovation Solution
An information processing apparatus and method that includes storage means for a model generated using text data as training, text information generation means to generate answers based on questions and the model, and screen generation means to display attribute information of data providers, enhancing the usability of the model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a generative AI model is used to provide answers, then the model's capabilities are utilized, but it is difficult to facilitate the use of the model and transfer tacit knowledge between users
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between the generative AI model and users. This intermediary extracts and manages tacit knowledge from the model's outputs, organizing it into reusable formats that facilitate knowledge transfer between users while maintaining the model's core functionality
Solution Approach 2:
The patent extracts tacit knowledge from the generative AI model's responses and separates it as a distinct, manageable component. This extracted knowledge can be independently utilized, shared, and transferred between users, making the model's value more accessible and easier to operate with
2Reliability
If conventional AI is used to present the best answer from learned data, then accurate answers are provided, but the system lacks the ability to output original content that has not been input
Solution Approach 1:
The patent merges the strengths of conventional AI (accurate retrieval from learned data) with generative AI capabilities (creating original content). The system combines reliable answer presentation with the ability to generate novel content, achieving both accuracy and creativity in a unified system
3Adaptability or versatility
If the model continuously learns from various inputs, then original content is generated, but it becomes difficult to facilitate the use and control of the model
Solution Approach 1:
The patent segments the continuous learning process into manageable components, organizing learned knowledge into structured tacit knowledge units. This segmentation makes the continuously evolving model more controllable and easier to manage while preserving its adaptive learning capabilities
Data Source
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AI summary
An information processing apparatus includes: storage means (4000) configured to store a model generated using text data as training data, the text data being data based on at least one of voice information and character information; text information generation means (45) configured to generate, based on a question and the model, text information indicating an answer to the question; and screen generation means (42) configured to generate a screen based on attribute information of one or more data providers who have provided the at least one of voice information and character information.