Artificial intelligence model and data collection/development platform

A method comprising:

• storing a collection of training data that is previously consumed by machine learning models during training of the machine learning models via a host platform;
• receiving a request to train a first machine learning model, the request comprising one or more parameters of input data to be used to train the first machine learning model;
• selecting a training data set previously consumed by a second machine learning model based on input items within the training data set matching the one or more parameters of the input data in the received request;
• and
• training the first machine learning model via execution of the first machine learning model on the selected training data set via the host platform.

A non-transitory storage media comprising instructions which when executed by a processor cause a computer to perform a method comprising:

• storing a collection of training data that is previously consumed by machine learning models during training of the machine learning models via a host platform;
• receiving a request to train a first machine learning model, the request comprising one or more parameters of input data to be used to train the first machine learning model;
• selecting a training data set previously consumed by a second machine learning model based on input items within the training data set matching the one or more parameters of the input data in the received request;
• and
• training the first machine learning model via execution of the first machine learning model on the selected training data set via the host platform.