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METHOD AND APPARATUS FOR MANAGING ARTIFICIAL INTELLIGENCE SYSTEMS

Abstract:

Systems to quickly validate that no runtime exceptions occur when hyperparameter tuning and for employing automatic training model generators before training are disclosed. The system may include operations comprising investigating a hyperparameter space and retrieving a plurality of hyperparameters from the hyperparameter space based on a hyperparameter optimization task, identifying at least one of features, characteristics, or keywords of hyperparameters associated with a model generation task and retrieving the plurality of hyperparameters based on the identification. The operations may further include determining which of the retrieved hyperparameters returns the fastest model run time of the model generation task. The operations may further include launching a model training using the hyperparameters determined to return the fastest model run time of the model generation task and notifying a user and terminating the model training if one or more programmatic errors occur in the launched model training.