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Model customization system and method

A technology for customizing systems and models, applied in database models, neural learning methods, biological neural network models, etc., can solve the problems that model training methods and platforms cannot meet complex deep learning development requirements, and achieve the goal of improving scalability Effect

Active Publication Date: 2021-10-26
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, traditional methods and platforms for model training cannot meet complex deep learning development requirements

Method used

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  • Model customization system and method
  • Model customization system and method
  • Model customization system and method

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Embodiment Construction

[0021] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0022] As described above in the background art, traditional methods and platforms for model training cannot meet complex deep learning development requirements. For example, in traditional technologies, the model training platform usually uses a monolithic architecture to store customized data in the database. When training is triggered, the training data is pulled fro...

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Abstract

The invention provides a model customization system and method, and relates to the field of artificial intelligence, in particular to the fields of natural language processing, deep learning and the like. According to the specific implementation scheme, the model customization system comprises a database, a data interaction center, a training center and a model storage center; the database comprises a binary log which is used for recording database table structure change and table data modification; the data interaction center is used for responding to a customization request of a target object, acquiring customization data of the target object, and sending the customization data to the database for storage; the training center is used for acquiring a binary log of the database, sensing data change information of the data interaction center according to the binary log, generating training data according to the data change information, and generating a customized model of a target object according to the training data; and the model storage center is used for receiving the customized model of the target object sent by the training center and storing the customized model of the target object by adopting a distributed storage method.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, in particular to the fields of natural language processing and deep learning, and in particular to a model customization system and a method for the model customization system. Background technique [0002] In recent years, natural language processing technology in the field of artificial intelligence has achieved explosive development, and new technologies and models are emerging in an endless stream. In the context of the new era, how to efficiently apply the diverse and advanced scientific research results in the field of natural language processing to industrial practice and solve practical problems is the core issue in the field of natural language processing. In addition, deep learning is a key technology in the field of artificial intelligence, and developers usually carry out related work based on the deep learning framework. [0003] However, traditional methods and platf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/10G06N3/08G06F16/27G06F16/28G06F16/23G06F8/20
CPCG06N3/105G06N3/08G06F16/27G06F16/284G06F16/2358G06F8/20
Inventor 王小坤雍高鹏李殿亚王洋孙叔琦李婷婷常月
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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