Softmax

This blog post explains how self-attention and softmax function in Transformer models, crucial for modern NLP. It breaks down how self-attention helps models understand relationships between tokens and how softmax ensures efficient computation and numerical stability.

Softmax stands as a pivotal component in neural network architectures, offering a means to convert raw scores into interpretable probabilities.