<ul><li>The paper “Attention Is All You Need” introduces the Transformer, a breakthrough architecture designed for sequence-to-sequence tasks.</li><li>The Transformer completely removes recurrence and convolution, relying entirely on self-attention mechanisms to model word relationships.</li><li>The architecture is built around an encoder-decoder structure, with attention-based layers replacing RNNs and convolutions.</li><li>The Transformer's simple and efficient design has become the foundation for big AI models like GPT, BERT, and T5.</li></ul>

Attention Is All You Need — A Structured, Simplified Summary

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