Patent attributes
A scalable system and method for completing a model task using a serverless architecture is disclosed. The system may include a model optimizer having one or more memory units for storing instructions and one or more processors. The method may include receiving a request to complete a model task, and retrieving a stored model and a first hyperparameter based on the request. The method may include provisioning first computing resources to a development instance configured to train the retrieved model based on the first hyperparameter and the model task. The method may include receiving, from the development instance, a trained model and a performance metric. The method may include receiving, from a different development instance, a different performance metric associated with a different model, and terminating the development instance based on a determination that the termination condition is satisfied.
