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Create, train, and deploy a billion-parameter language model on terabytes of data with TensorFlow and Amazon SageMaker

AWS Machine Learning

To overcome these challenges of model and data parallelism, AWS offers a wide range of capabilities. In this post, we introduce two main approaches: data parallelization and model parallelization using Amazon SageMaker , and discuss their pros and cons. In this project, we faced two challenges: scaling model size and data volume.