Self-attention mechanism: Revision history

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25 July 2024

  • curprev 07:0307:03, 25 July 2024‎ Mr. MacKenty talk contribs‎ 4,295 bytes +4,295‎ Created page with "''This article was created with support from an LLM'' The self-attention mechanism is a component in neural network architectures that allows the model to weigh the importance of different words in a sentence relative to each other. This mechanism is pivotal in enhancing the model's ability to capture long-range dependencies and contextual relationships within the text. In chatbots, the self-attention mechanism is often employed within transformer models to improve natu..."
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