Artificial intelligence model training method and communication apparatus
AssigneeHuawei Technologies Co., Ltd.
InventorsYang Tian, Yan Sun, Huangping Jin
Life of this patent
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Abstract
This application provides an artificial intelligence model training method and a communication apparatus, and relates to the field of communication technologies. In the artificial intelligence model training method, a parameter that needs to be updated in a first model may be determined based on obtained recognition information of a first scenario, and the parameter that needs to be updated in the first model is updated, but not all parameters are updated, to effectively reduce overall overheads for model update.
Claims20
An apparatus, comprising at least one processor, configured to execute instructions stored in a memory to cause the apparatus perform the following:
- obtaining recognition information of a first scenario;
- and
- determining a first parameter in a first model based on the recognition information of the first scenario, wherein the first parameter is used to determine a parameter that needs to be updated in the first model.
An apparatus, comprising at least one processor, configured to execute instructions stored in a memory to cause the apparatus perform the following:
- obtaining recognition information of a first scenario;
- determining, based on the recognition information of the first scenario, a scenario related to the first scenario, wherein the scenario related to the first scenario is a scenario currently supported by a first model;
- and
- obtaining amount information of data of the scenario related to the first scenario, wherein the data of the scenario related to the first scenario is used to update the first model, and an updated first model supports the first scenario.
An artificial intelligence model training method, comprising:
- obtaining, by a first apparatus, data of a first scenario;
- performing, by the first apparatus, data generation based on the data of the first scenario and a data feature of second data, to obtain first data, wherein the second data is data of a scenario currently supported by a first model, the first data is used to update the first model, and an updated first model supports the first scenario;
- wherein the data feature of the second data comprises at least one of the following:
- a signal-to-noise ratio, a reference signal received power, or a data distribution status.
Dependencies are inferred from the claim text.