Reference-Field Table Content Generation for Accurate Data Entry
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Solution Overview
Problem
Current methods for generating table field content require manual input and analysis, which is inefficient and prone to errors.
Innovation Solution
A method and apparatus that utilize prompt information including a reference field to automatically generate content in a target field based on the content of a reference field, using a model like a Large Language Model (LLM) to simplify operations and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual input methods are used for table field content, then users can directly input data, but the process is inefficient and prone to errors
Solution Approach 1:
The system enables self-service by allowing the target field to automatically generate its content based on the reference field content through configured generation rules, eliminating the need for manual input and reducing human error
Solution Approach 2:
A content generation service acts as an intermediary between the reference field and target field, automatically generating content based on configured rules and relationships, thereby improving both efficiency and accuracy
2Productivity
If automatic content generation based on reference fields is implemented, then efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-configuring content generation rules and relationships between fields before actual content generation occurs, simplifying the runtime process while maintaining automation benefits
Solution Approach 2:
The content generation service serves as an intermediary layer that manages the complexity of automatic content generation, shielding users from system complexity while enabling efficient automated content creation
Data Source
AI summary
Embodiments of the present disclosure provide a method and an apparatus for generating table field content, a storage medium, and an electronic device, and the method includes: receiving prompt information input for a target field in a table, where the prompt information includes at least one reference field, and the reference field is a field in the table; generating, in response to receiving a content generation instruction for the target field, second content of a second cell corresponding to the target field based on first content of a first cell corresponding to the reference field; and presenting the second content in the second cell corresponding to the target field.