Model management apparatus and method, data management apparatus and method and system

A model management method, comprising:

• receiving, through a model update module, an update instruction of a target functional model;
• determining, according to the update instruction, a target functional model to be updated from at least one functional model stored in a model storage module, and performing functional update on the target functional model to be updated based on a target model data set, wherein the functional update comprises retraining of the target functional model to be updated using the target model data set;
• transmitting an updated target functional model to the model storage module for storage;
• receiving, through a model test service module, a first loading task instruction;
• and
• loading, according to the first loading task instruction, the updated target functional model and an associated functional model of the updated target functional model from the model storage module to the model test service module, so that an offline model application apparatus calls, in a test phase, the updated target functional model and the associated functional model of the updated target functional model from the model test service module to cause the offline model application apparatus to implement a set function;
• wherein the offline model application apparatus and a model management apparatus are set up independently of each other, and
• wherein the set function is implemented based on the updated target functional model and the associated functional model of the updated target functional model, and comprises a natural language understanding function;
• wherein the target functional model comprises a vertical domain categorization model, and the associated functional model of the updated target functional model comprises at least one of a domain intention categorization model or a slot sequence annotation model, wherein each piece of data in a vertical domain categorization data set of the target model data set comprises input information in human-machine dialogue and a correct vertical domain corresponding to the input information.

A data management method, comprising:

• in response to determining that a model update module of a model management apparatus is to update a target functional model, providing, through a database module, the model update module with a target model data set used for update;
• in response to determining that a regression test instruction is received through a regression test module, obtaining, through the regression test module, a target test case set from the database module according to the regression test instruction, and testing a set function of a model application apparatus based on the target test case set to test compatibility between an updated target functional model and an associated functional model thereof;
• in response to determining that a model update instruction is received through a task scheduling module, transmitting an update instruction to the model update module;
• and
• in response to detecting through the task scheduling module that update of the target functional model is completed, transmitting a first loading task instruction to a model test service module to cause the model test service module to load, from a model storage module storing at least one functional model, the updated target functional model and the associated functional model of the updated target functional model, so that an offline model application apparatus calls, in a test phase, the updated target functional model and the associated functional model of the updated target functional model from the model test service module to cause the model application apparatus to implement the set function, wherein the update of the target functional model comprises retraining of the target functional model to be updated using the target model data set,
• wherein the offline model application apparatus and the model management apparatus are set up independently of each other, and
• wherein the set function is implemented based on the updated target functional model and the associated functional model of the updated target functional model, and comprises a natural language understanding function;
• wherein the target functional model comprises a vertical domain categorization model, and the associated functional model of the updated target functional model comprises at least one of a domain intention categorization model or a slot sequence annotation model, wherein each piece of data in a vertical domain categorization data set of the target model data set comprises input information in human-machine dialogue and a correct vertical domain corresponding to the input information.