Take the dot product of queries and keys to measure how much each word should focus on others This practical application focuses on the main calculation of the attention mechanism. Divide by square root of embedding size (ādā) to keep values stable.
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After completing this tutorial, you will know
The fig depicts the core mechanism underpinning much of the success of transformer models
This is a key concept, particularly in the context of understanding ai explainability, because it fundamentally defines how the model weighs different parts of the input sequence when making predictions.
