Response Generation Using Selectable Candidate Attitudes
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Solution Overview
Problem
Existing machine learning-based response generation processes require substantial manual operations, including constructing prompts, which are inefficient and cumbersome for users.
Innovation Solution
A method and apparatus that utilize a machine learning model to generate responses by providing candidate attitudes, allowing users to select an attitude, and automatically generate a response based on the selected attitude and the content of the input data object, with optional refinement and editing features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If machine learning techniques are used to generate responses, then response generation capability is improved, but manual operations for prompt construction are required which increases operation complexity
Solution Approach 1:
The system automatically generates responses by selecting from pre-defined candidate attitudes without requiring users to manually construct prompts. The machine learning model autonomously processes the input data object and generates appropriate responses based on the selected attitude, eliminating the need for manual prompt engineering while maintaining high adaptability in response generation.
Solution Approach 2:
The patent pre-defines multiple candidate attitudes before the user needs to generate a response. These candidate attitudes are prepared in advance and presented to the user for selection, eliminating the need for users to manually construct prompts during the response generation process. This preliminary preparation significantly reduces operational complexity while maintaining versatile response generation capabilities.
2Adaptability or versatility
If manual prompt construction is required, then response generation flexibility is maintained, but user operation time and efficiency are reduced
Solution Approach 1:
Multiple candidate attitudes are pre-defined and prepared in advance before the user needs to generate a response. The user simply selects from these pre-prepared options rather than manually constructing prompts, which significantly reduces operation time while maintaining flexible response generation through the variety of pre-defined attitudes.
Solution Approach 2:
The system uses template-based response generation where pre-defined candidate attitudes serve as templates or copies that can be quickly selected and adapted. This copying approach allows users to obtain flexible responses without the time-consuming process of manual prompt construction, as the system reuses and adapts pre-established attitude templates.
3Ease of operation
If candidate attitude selection is provided, then ease of operation is improved, but the system requires pre-defined attitude options which may limit creativity
Solution Approach 1:
The system dynamically adjusts the response generation process by first presenting users with pre-defined candidate attitudes for easy selection, then allowing further customization based on the specific input data object. This dynamic approach maintains ease of operation through simple attitude selection while preserving creativity through adaptive response generation that considers the specific context of each data object.
Solution Approach 2:
The patent segments the response generation process into two distinct stages: first, selecting from pre-defined candidate attitudes (ease of operation), and second, generating the actual response content based on the selected attitude and input data object (creativity). This segmentation allows the system to maintain both ease of operation through simple selection and creativity through context-aware content generation.
Data Source
AI summary
A method, an apparatus, a device, and a medium for generating a response are provided. In a method, a first data object is obtained. A plurality of candidate attitudes for a response to the first data object are provided. In response to receiving a first interaction request for a candidate attitude among the plurality of candidate attitudes, a second data object is generated as the response to the first data object, wherein second content of the second data object is determined based on first content of the first data object and the candidate attitude. In aid of the example embodiments of this disclosure, by providing a plurality of candidate attitudes, a user can easily select a desired attitude, and a response is automatically generated. Thereby, the complexity of user's operation can be reduced, and a response is generated in a simpler and more efficient way.