Monitoring method and device, equipment and storage medium

Abstract

The invention discloses a monitoring method and device, equipment and a storage medium. The method comprises the following steps: acquiring historical behavior information of a user; and inputting the user historical behavior information into a monitoring model to obtain a monitoring result of a first NL2SQL model, the monitoring model being obtained by iteratively training a deep recommendation model through a first target sample set. Through the technical scheme of the invention, the problems that online updating does not consider a scene that a network cannot be accessed, the model can only be updated mechanically, and the model cannot be updated intelligently are solved, the problems that manual updating consumes a large amount of labor cost, the model updating efficiency is low, real-time performance cannot be achieved and the model cannot be updated intelligently are solved, and whether the model needs to be updated or not can be judged according to the historical behavior information of the user.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a monitoring method, device, equipment and storage medium. Background technique [0002] The application fields of artificial intelligence are becoming wider and wider. NL2SQL converts natural language into SQL statements, which can act as an intelligent interface for databases, allowing users who are not familiar with databases to quickly find the data they want. Therefore, the application of NL2SQL model in structured data query is increasing. With the passage of time and the development of technology, how, when, and how often to update the NL2SQL model are common problems in practical applications. [0003] As time goes by and the external environment changes, the artificial intelligence model deployed online needs to be updated and iterated. At present, the methods for updating the artificial intelligence model mainly include: online update a...

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a monitoring method, device, equipment, and storage medium, which can not only solve the problem that the online update does not take into account the inaccessibility of the network, but can only update the model mechanically, but can not update the model intelligently, and can also solve the problem of manual updating. The update consumes a lot of labor costs, the model update efficiency is low, and it is not real-time, and the model cannot be updated intelligently. It is possible to judge whether the model needs to be updated based on the user's historical behavior information.

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