Prompt Template Interface for Accurate AI Task Input
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Solution Overview
Problem
Existing technologies fail to effectively address the need for enhancing user interaction in determining prompt solutions for improving the quality of the prompt, thereby affecting the accuracy of the user's interaction with the user's interaction with the user's interaction with the user's interaction with the model.
Innovation Solution
A method and apparatus for enhancing the user's interaction with the model by providing an interaction area with a data input box and a prompt template, allowing users to specify attributes of the prompt for performing a task, thereby improving the quality of the generated response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users directly input prompts without templates, then the operation process is simple, but the quality and accuracy of generated responses deteriorates
Solution Approach 1:
The system pre-prepares prompt templates with defined attributes and structures before user interaction. These templates contain pre-configured elements such as role definitions, task descriptions, and parameter options that are ready for user selection and customization, eliminating the need for users to construct prompts from scratch while ensuring quality standards are met.
Solution Approach 2:
Prompt templates serve as an intermediary between the user's simple input needs and the model's requirement for structured, high-quality prompts. The templates mediate by providing a standardized framework that guides user input while ensuring the output meets quality requirements for effective model interaction.
2Manufacturing precision
If users customize prompts with multiple attributes, then the quality of generated responses improves, but the device complexity increases
Solution Approach 1:
The prompt template is segmented into multiple independent attributes and components (such as role, task, parameters, constraints) that can be independently configured and managed. This segmentation allows the complexity to be distributed across modular elements rather than presented as a monolithic complex structure, making the interaction area more manageable while maintaining comprehensive prompt customization capabilities.
3Measurement precision
If users customize prompts with multiple attributes, then the accuracy of interaction with the model improves, but the difficulty of operation increases
Solution Approach 1:
The system allows users to adjust and customize prompt parameters within predefined ranges and options rather than requiring complete prompt construction. Users can modify specific attributes such as tone, length, format, and content focus through parameter selection and adjustment, which maintains interaction accuracy while reducing operational difficulty compared to building prompts from scratch.
Data Source
Figure 1~2A
Figure 2B~2D
Figure 2E~2F
AI summary
According to embodiments of the disclosure, a method, an apparatus, a device, and a storage medium for prompt determination are provided. The method includes: presenting, in response to receiving a first interaction request for specifying a type of a task to be performed, an interaction area matching the type, the interaction area including: a data input box for inputting data to be processed; and a prompt template matching the type, the prompt template specifying a plurality of attributes of a prompt for performing the task; and generating, in response to receiving a second interaction request for the interaction area, the prompt for performing the task. In this way, the user can customize the prompt conveniently and quickly, the difficulty of inputting the prompt by the user is reduced, the quality of the generated prompt is improved, and the response quality is further improved.