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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

We begin by creating two embedding layers for token and positional embedding. We begin by creating two embedding layers for token and positional embedding. We face several challenges when training large-scale deep learning models, especially the new wave of generative pre-trained transformers. return self.layernorm2(out1 + out2).

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