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Visually explained: Attention in Transformers!

The video explains the attention mechanism in transformers, a key component in large language models. It describes how attention allows words to influence and update the meaning of other words based on context. The process involves key, query, and value matrices and multiple attention heads. The attention mechanism is highly parallelizable and enables the encoding of higher-level and more abstract ideas in language models.


Note: Summarized by AI


Watch the complete video on YouTube.


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