How does attention normalization improve the generalization of Generative AI

Question

With the help of proper programming can you explain How does attention normalization improve the generalization of Generative AI?

Answer 1

Attention normalization helps improve the generalization of Generative AI models by stabilizing the training process, reducing overfitting, and ensuring that the attention mechanism focuses on relevant features. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Attention Normalization: Ensures stable gradients and reduces sensitivity to extreme values.
• Improved Generalization: By normalizing attention scores, the model can generalize unseen data better.
• Layer Normalization: Often used to normalize the attention output and enhance model robustness.

Hence,  by referring to the above, you can improve the generalization of Generative AI.