The AzureML submodule contains utilities to connect to a
workspace,
train, tune and operationalize NLP systems at scale using AzureML.
For example, the DistributedCommunicator class defined in
azureml_bert_util.py assists in making communication with multiple nodes
for distributed training possible. azureml_utils.py contains a few helper functions that make it easy to authenticate, create, or retrieve an AzureML resource.
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