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Generative Pre-trained Transformers (GPT) are neural network models that are trained on vast amounts of data in an unsupervised manner. They are designed to generate coherent and contextually relevant text by learning patterns, structures, and relationships in the data, enabling them to produce human-like language based on the input they receive.