Model generation method and apparatus, and computer device and storage medium
By automating the grouping and merging of the changes in weight parameters of the models to be merged, the problem of model discrepancies caused by manual selection of key weight parameters in existing technologies is solved, achieving efficient and accurate model generation and performance improvement.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- CHINA TELECOM CLOUD TECH CO LTD
- Filing Date
- 2025-11-19
- Publication Date
- 2026-06-04
AI Technical Summary
Existing technologies rely on manual selection of key weight parameters during model fusion, resulting in a lack of data support and poor interpretability. This leads to significant differences between the fused model and the target model, failing to meet the needs of practical applications.
By obtaining the change in weight parameters of the models to be merged, selecting the change in target weight parameters as the grouping threshold, grouping according to similarity, and merging weight parameters in the target grouping results to generate the target model.
It achieves automated model merging, improves the accuracy and efficiency of generation, enhances the overall performance and generalization ability of the target model, and improves prediction accuracy and model interpretability.
Smart Images
Figure CN2025135989_04062026_PF_FP_ABST