Prompt Template Interface for High-Quality Model Input
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Solution Overview
Problem
Existing applications struggle to determine high-quality prompts for models due to reliance on inaccurate user inputs, leading to suboptimal response quality that requires multiple adjustments.
Innovation Solution
An interaction area is presented with a data input box and a prompt template specifying attributes, allowing users to refine prompts through a structured input process, reducing complexity and improving prompt quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users directly input prompts without structured guidance, then the input process is simple, but the prompt quality is low and requires multiple adjustments
Solution Approach 1:
The prompt input process is segmented into distinct attributes (subject, action, object, etc.) that users can fill independently. This segmentation allows structured guidance without overwhelming complexity, as each attribute represents a manageable unit of input that contributes to overall prompt quality.
Solution Approach 2:
The system provides preliminary guidance by presenting attribute templates before users input their prompts. These templates pre-define the necessary components of a quality prompt, guiding users to provide complete information from the outset rather than requiring iterative adjustments.
2Measurement precision
If multiple adjustments are made to improve prompt quality, then the response quality improves, but the time consumption increases
Solution Approach 1:
By implementing preliminary action through attribute templates, the system guides users to provide complete and structured prompt information in the first attempt. This prevents the need for multiple iterative adjustments, thereby maintaining high response quality while reducing time consumption.
3Measurement precision
If a structured prompt template is provided, then prompt quality improves, but the ease of operation decreases
Solution Approach 1:
The system applies local quality by providing structured guidance only where needed - specifically for prompt attributes that commonly cause quality issues. Rather than requiring complete structured input for all prompts, the template guides users selectively on essential components, maintaining ease of operation while improving quality.
Data Source
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.