Transformers are a type of neural network architecture designed to handle sequential data, like text. They were introduced in the 2017 paper "Attention is All You Need" and have since powered models ...

The purpose of the above code, demonstrated with a simplified example, is to show the working of the self-attention mechanism in a Transformer model. Let's break it down step-by-step with an example ...