DATA PROCESSING METHOD, MODEL TRAINING METHOD, AND RELATED DEVICE

Abstract

A data processing method, a model training method, and a related device are provided. The method may be applied to a multi-task processing scenario in the field of artificial intelligence. The method includes: obtaining first data and first information, where the first information indicates at least one task executed on the first data; and inputting the first data and the first information into a first machine learning model, and processing the first data by using the first machine learning model, to obtain at least one prediction result that is output by the first machine learning model and that is in a one-to-one correspondence with the at least one task. To be precise, the first machine learning model can learn of, based on the first information, specific tasks that need to be executed on the first data, so that a required task can be adaptively executed on the first data.

CPC Classifications