Intent Recognition Workflow for Accurate AI Content Generation
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Solution Overview
Problem
Current artificial intelligence models have high prerequisites for users, making it difficult for non-professional users to generate accurate content, resulting in a poor user experience.
Innovation Solution
A data processing method and device that processes first input data into second input data based on a first processing instruction, generates third input data through an adjustment operation, and creates a target file matching the user's intent using an intent recognition model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If artificial intelligence models are used for content generation, then content generation capability is improved, but user operation difficulty increases
Solution Approach 1:
The patent introduces an intermediary processing system that translates user-friendly input into model-appropriate processing instructions. This intermediary layer handles the complexity of model interactions while presenting a simplified interface to users, effectively mediating between the user's simple operations and the complex AI model requirements.
Solution Approach 2:
The patent segments the content generation process into distinct modular steps: input reception, instruction generation, model processing, and result delivery. Each segment is handled by specialized components that can be independently optimized and managed, reducing the overall operational complexity for users while maintaining high productivity.
2Measurement precision
If professional knowledge is required for accurate content generation, then content accuracy is improved, but user accessibility deteriorates
Solution Approach 1:
The patent enables the system to automatically generate appropriate processing instructions and parameters based on the input data and user intent, without requiring users to manually configure technical parameters. The system serves itself by translating high-level user requests into detailed model instructions, maintaining accuracy while improving accessibility.
Solution Approach 2:
The patent dynamically adjusts processing parameters based on the input data characteristics and user preferences. The system automatically modifies model parameters, processing depth, and output formats to match the specific requirements of each task, ensuring accurate results for diverse users without requiring them to understand parameter configurations.
Data Source
AI summary
A data processing method includes processing first input data into second input data in response to obtaining a first processing instruction for the first input data, the first input data being data input to a target application; generating third input data based on an obtained adjustment operation for the second input data; and generating a target file matching a user intent based on the user intent represented by the third input data.