Offshore wind power and ocean engineering large model application method, device, equipment and medium
By constructing a domain-specific large model that integrates professional domain pre-training, supervised fine-tuning, and reward-based reinforcement learning algorithms, the problems of insufficient data and generalization ability of large-scale pre-trained language models in professional scenarios of marine engineering and offshore wind power are solved, thereby improving professionalism and accuracy.
CN122114190APending Publication Date: 2026-05-29ZHEJIANG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-05-29
Smart Images
Figure CN122114190A_ABST
Abstract
The application discloses an offshore wind power and ocean engineering large model application method and device, equipment and medium. It relates to the technical field of artificial intelligence, and the method comprises the following steps: acquiring task demand data in the field of offshore wind power and ocean engineering; inputting the task demand data into an offshore wind power and ocean engineering large model for processing to obtain professional processing results corresponding to the task demand data; wherein the offshore wind power and ocean engineering large model is a large model specially used in the field and trained by fusing professional field pre-training, supervised fine-tuning and reinforcement learning algorithm based on a reward model. The method can improve the professionalism and accuracy of field task processing, reduce the cost of task processing and enhance the generalization ability of the model, and provides efficient and reliable technical support for the intelligent practice in the field of offshore wind power and ocean engineering.
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Citation Information
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