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terimler
terimler
Add & Norm Layer
Residual normalization layer applied after the attention mechanism, combining the attention output with the original input (residual connection) before normalizing the sum.
terimler
Linear Projection in Attention
Linear transformation (multiplication by a weight matrix) applied to input embeddings to generate Query, Key, and Value vectors, allowing the model to learn attention-specific representation spaces.
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