Information processing method and related device
By calculating the interaction responsiveness and interaction quality scores, the agents with high interaction capabilities are selected, which solves the problem of insufficient agent data quality and improves the training effect of the neural network model.
Patent Information
- Application Number
- CN202410831860.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-24
- Publication Date
- 2024-12-17
AI Technical Summary
In the field of artificial intelligence, neural network models require high-quality data to learn, but some agents cannot provide high-quality interactive data, resulting in a decline in the quality of interactive information and affecting the model training effect.
By determining the interaction characteristics of the interaction object and the candidate agent, the interaction responsiveness is calculated, and the interaction quality score is determined based on the response range, the target agent with high interaction capabilities is selected to improve the accuracy of the agent screening.
It improves the accuracy of candidate agent screening, ensures that the neural network model receives high-quality interactive data, and improves the accuracy and effectiveness of model training.
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Figure CN119149679A_ABST
Abstract
Citation Information
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