Method, device and system for optimizing artificial intelligence model

By generating the first sample prompt information based on business data in the business device and adjusting the parameters of the artificial intelligence model, the problem of low parameter adjustment efficiency in the prior art is solved, and the usability of the model and scenario coverage capability are improved.

CN119739621APending Publication Date: 2025-04-01HUAWEI CLOUD COMPUTING TECHNOLOGIES CO LTD
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Patent Information

Application Number
CN202311819576.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-09-27
Filing Date
2023-12-25
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

In the prior art, the parameter adjustment efficiency of the artificial intelligence model is low and is greatly affected by sample data, making it difficult to effectively cover all scenarios in the business data, especially the uncollectable exceptions and long-tail scenarios.

Method used

By deploying an artificial intelligence model in the business device, the first sample prompt information based on business data is generated, and the parameters of the artificial intelligence model are further adjusted. This method reflects the characteristics of the artificial intelligence model through business data, improving the efficiency and accuracy of parameter adjustment.

Benefits of technology

It improves the efficiency of parameter adjustment of artificial intelligence models, enhances the usability of the model, and can better cover diverse scenarios in business data, especially exceptions and long-tail scenarios that cannot be collected.

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Abstract

The present application discloses a method, device and system for optimizing an artificial intelligence model, and belongs to the field of artificial intelligence model technology. The method includes: providing a trained artificial intelligence model to a business device, the business device is used to deploy the artificial intelligence model; receiving first sample prompt information provided by the business device, the first sample prompt information indicating the conditions that the content of the first sample data needs to meet; based on the first sample prompt information, generating first sample data; based on the first sample data, continuing to adjust the parameters of the artificial intelligence model, and providing the adjusted artificial intelligence model to the business device. The present application improves the efficiency of adjusting the parameters of the artificial intelligence model, and helps to improve the availability of the artificial intelligence model.
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