Natural Language Assistant Configuration for No-Code Customization
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Solution Overview
Problem
Users lack the ability to conveniently and flexibly create digital assistants with different capabilities due to limited programming skills and understanding of underlying implementation logic.
Innovation Solution
A page-based configuration system for creating digital assistants that allows users to input settings information in natural language, using machine learning models to determine responses, and release the assistants for interaction, without requiring complex coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional programming methods are used to create digital assistants, then the digital assistants can have precise and customized capabilities, but the process becomes complex and difficult for users without programming skills
Solution Approach 1:
The patent introduces a visual configuration interface as an intermediary between users and the digital assistant creation system. This interface allows users to define digital assistant capabilities through graphical elements and natural language descriptions rather than programming code, thereby reducing complexity while maintaining customization capability. The system translates these visual configurations into functional digital assistants automatically.
Solution Approach 2:
The patent replaces the traditional mechanical programming system with a natural language-based configuration system. Instead of requiring users to write code using programming languages, the system accepts natural language descriptions of desired capabilities and automatically generates the corresponding digital assistant functionality. This substitution dramatically reduces the barrier to entry for users without programming skills.
2Adaptability or versatility
If users are provided with full programming freedom to create digital assistants, then highly customized assistants can be created, but the ease of use decreases due to the need for programming knowledge
Solution Approach 1:
The patent implements a self-service system where the digital assistant creation process is automated through visual configuration and natural language processing. The system automatically generates digital assistant code, configures capabilities, and handles deployment based on user inputs provided through the visual interface. This eliminates the need for users to manually program or configure complex technical parameters, thereby improving ease of operation while maintaining full customization capability.
Solution Approach 2:
The visual configuration interface acts as a mediator that translates user-friendly visual inputs into the complex backend processes required for digital assistant creation. Users interact with simple visual elements and natural language text, while the intermediary system handles the complexity of code generation, model selection, and capability configuration automatically.
3Ease of operation
If a simplified interface is used for digital assistant creation, then ease of use improves, but the precision and control over digital assistant behavior may be reduced
Solution Approach 1:
The patent replaces manual precision configuration with automated natural language processing and machine learning model selection. Instead of requiring users to manually tune parameters for precise control, the system uses AI algorithms to interpret natural language requirements and automatically configure the digital assistant with appropriate precision. This maintains response accuracy while keeping the interface simple and easy to use.
Solution Approach 2:
The system dynamically adjusts configuration parameters based on the analysis of natural language inputs and usage patterns. Rather than requiring users to manually set all parameters for precision, the system automatically optimizes parameters such as response style, capability scope, and interaction patterns based on the configured requirements, thereby maintaining precision through automated parameter optimization rather than manual control.
Data Source
AI summary
Embodiments of the disclosure provides technologies for digital assistant creation. A method includes: in response to receiving a creation request, presenting a page for creating a digital assistant, the page comprising at least one configuration area for receiving configuration information for the digital assistant, the at least one configuration area comprising: a first configuration area for receiving settings information input in a natural language; and in response to receiving a release request, releasing the digital assistant based on the configuration information, for use in interaction with the user. Therefore, by providing a modular, simple-input scheme for digital assistant creation, users are able to define digital assistants easily and quickly with different capabilities without requiring code writing capabilities.