Visual QA Service Builder Using Modular LLM Components
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Solution Overview
Problem
Existing question-answering robots with large language models face high technical thresholds and high development costs due to inefficient, laborious manual development methods, leading to high error rates and reduced quality and efficiency.
Innovation Solution
A method and apparatus for generating a question-answering service using a functional code encapsulation component set, allowing users to visually select and connect components without professional programming knowledge, thereby reducing development costs and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If code-based manual development is used, then the question-answering service can be developed, but the development efficiency is low and labor costs are high
Solution Approach 1:
The patent segments the question-answering service development into modular functional components (trigger component, question-answering strategy component, language question-answering model component). These pre-packaged modules can be visually selected and connected through a drag-and-drop interface, eliminating the need for manual coding and significantly improving development efficiency while reducing time loss.
Solution Approach 2:
The patent introduces a visual configuration interface as an intermediary between the user and the underlying code system. This interface allows users to select and connect functional components without writing code, while the system automatically generates the corresponding service code. This intermediary layer abstracts the complexity and enables non-programmers to efficiently develop question-answering services.
2Ease of manufacture
If manual development with deep understanding of underlying algorithms is required, then the question-answering service can be implemented, but the technical threshold is high and labor costs increase
Solution Approach 1:
The patent enables self-service by allowing users to configure question-answering services through a visual interface without needing to understand underlying algorithms. The system provides pre-packaged functional components that users can select and connect based on their needs, automatically generating the service implementation. This eliminates the requirement for deep technical knowledge while maintaining service quality.
Solution Approach 2:
The patent uses pre-packaged functional component templates that encapsulate complex algorithmic logic. Users copy these ready-made components into their service configuration rather than implementing algorithms from scratch. This copying approach reduces technical complexity while maintaining functionality, as the complex logic is already embedded in the templates.
3Reliability
If code-based manual development is used, then the question-answering service can be created, but implementation errors increase and quality decreases
Solution Approach 1:
By segmenting the service into standardized functional components with predefined interfaces and behaviors, the patent reduces implementation errors. Each component is pre-tested and validated, ensuring consistent and reliable behavior. The visual connection interface also provides automated validation to prevent incorrect component connections, thereby improving manufacturing precision and service quality.
Solution Approach 2:
The visual configuration interface provides real-time feedback during service creation, validating component selections and connections before service deployment. This feedback mechanism identifies potential errors early in the configuration process, preventing implementation mistakes and improving the overall quality and reliability of the generated question-answering service.
Data Source
AI summary
A question-answering service generation method includes displaying a functional code encapsulation component set in an edition interaction page of a question-answering service edition application, and in response to a component selection operation on the functional code encapsulation component set, displaying, in a question-answering service edition page included in the edition interaction page, a trigger component, a question-answering strategy component, and a language question-answering model component that are selected from the functional code encapsulation component set through the component selection operation, and a processing flow connection relationship among the trigger component, the question-answering strategy component, and the language question-answering model component, and generating, in response to a question-answering service confirmation operation triggered in the edition interaction page, a question-answering service based on the processing flow connection relationship.