Eugene Yan 5/21/2023

Some Intuition on Attention and the Transformer

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This article provides an intuitive explanation of the Attention mechanism and the Transformer model, which power modern LLMs like ChatGPT. It contrasts the Transformer with older encoder-decoder and recurrent models, highlighting how attention overcomes informational bottlenecks, long-range dependency issues, and enables parallelization. It also begins to explain the roles of query, key, and value vectors using an analogy.

Some Intuition on Attention and the Transformer

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