![](https://pravi.tech/images/2024/3/attention-banner.png)
Introduction to Tranformer models
Introduction The “Attention is All You Need” paper by Vaswani et al. introduced the Transformer architecture, which has become a foundational model for many natural language processing (NLP) and other sequence-to-sequence tasks. Transformers are neural networks that learn context and understanding through sequential data analysis. The Transformer models use a modern and evolving mathematical techniques set, generally known as attention or self-attention. This self-attention mechanism lets each word in the sequence consider the entire context of the sentence, rather than just the words that came before it....