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Summary: A Primer on Transformers

Learn the fundamentals of transformer models by exploring encoder and decoder components, self-attention mechanisms, multi-head attention, positional encoding, and how these elements work together to process language. This lesson helps you grasp the essential workings behind transformer architectures used in modern NLP.

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Key highlights

Summarized below are the main highlights of what we have learned in this chapter.

  • We learned what the transformer model is and how ...