Attention unlocks efficiencyThe pivotal paper “Attention is All You Need,” introduced the transformer architecture. Each word in the input sequence is converted into these three vectors. Instead of examining words individually, the transformer model processes multiple words simultaneously, making it faster and more intelligent. The encoder processes the entire input sequence, creating a set of representations that include contextual information from the entire sequence. Through these pre-training tasks, BERT captures the nuances of language, enabling it to understand context at both the word and sentence levels.