Some Intuition on Attention and the Transformer
Read OriginalThis 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.
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