Compare BERT and GPT architectures. How do their training objectives differ, and what tasks is each model best suited for?

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BERT and GPT represent two fundamental approaches to pre-trained language models, differing in architecture, training objectives, and optimal use cases. BERT uses only the encoder portion of the transformer architecture.