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</html><description>Description: Multi-head attention is a fundamental mechanism in large language models and convolutional neural networks, allowing the model to focus on different parts of the input sequence simultaneously. This approach is based on the idea that by dividing attention into multiple &#x2018;heads&#x2019;, the model can capture various representations and relationships in the input data. Each [&hellip;]</description></oembed>
