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Get ready to start your journey into the exciting world of language models! In this course, you will learn how to build and train neural networks to generate human-like text in PyTorch, one of the most popular deep learning frameworks in Python. You will learn how to read and transform raw text into numerical representations called embeddings that can be used by a neural network to learn contextual relationships within the text and generate relevant text responses. You will also learn how special neural network architectures like RNNs and LSTMs can process and generate sequential data.
