Part 2 ─ Unleashing the Power of Position: Positional Encoding in Transformers

Transformer models process input sequences in a step-by-step (or sequential) manner. This parallel processing significantly speeds up training and inference, but it also means that the Transformer model doesn’t inherently understand the order or sequence of the words in a sentence. In transformer models, each word is assigned an index.