CPC G06N 20/00 (2019.01) [G06F 9/3885 (2013.01)] | 22 Claims |
1. A method, comprising:
receiving input data at a trained machine learning model that includes a common part and task-specific parts;
receiving an execution instruction at the trained machine learning model that identifies one or more processing tasks to be performed;
processing the input data using the common part of the trained machine learning model to generate intermediate data; and
processing the intermediate data using one or more of the task-specific parts of the trained machine learning model that correspond to the one or more processing tasks to be performed that are identified by the execution instruction to generate one or more outputs, wherein processing the intermediate data using the one or more of the task-specific parts of the trained machine learning model based on the execution instruction includes loading only the one or more of the task-specific parts of the trained machine learning model that are identified by the execution instruction.
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