Enhancing deployed machine learning models using prompt learning

A computer system for enhancing deployed machine learning (ML) models using prompt learning, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more computer-readable tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• receiving an input for a prediction task using a first ML model;
• adding a feature to the received input using a second ML model, wherein the added feature is recognized by the first ML model;
• and
• predicting, using the first ML model, an output for the received input based on the added feature, wherein the predicted output by the first ML model based on the added feature includes an improved accuracy relative to another predicted output by the first ML model without considering the added feature.

A computer program product for enhancing deployed machine learning (ML) models using prompt learning, comprising:

• one or more computer-readable storage media and program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• receiving an input for a prediction task using a first ML model;
• adding a feature to the received input using a second ML model, wherein the added feature is recognized by the first ML model;
• and
• predicting, using the first ML model, an output for the received input based on the added feature, wherein the predicted output by the first ML model based on the added feature includes an improved accuracy relative to another predicted output by the first ML model without considering the added feature.