Why Is GPT Better Than BERT? A Detailed Review of Transformer Architectures

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Details of Transformer Architectures Illustrated by BERT and GPT Model
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Decoder-only architecture (GPT) is more efficient to train than encoder-only one (e.g., BERT). This makes it easier to train large GPT models. Large models demonstrate remarkable capabilities for zero- / few-shot learning. This makes decoder-only architecture more suitable for building general purpose language models.