A Deep Dive into Transformers, Tokenizers, and Pipelines: Powering Modern NLP Daniel Aasa · Follow 3 min read · Just now Natural Language Processing (NLP) has undergone a radical evolution over the past few years, thanks in no small part to three key technologies: transformers, tokenizers, and pipelines. If you’ve ever wondered how modern AI models understand human language and generate responses with remarkable accuracy, these components are the driving force behind it. Let’s dive in! What are Transformers? Transformers are the backbone of NLP today. They are a deep learning architecture designed to handle sequential data, like text, and they revolutionized the field with their introduction in the 2017 paper “Attention is All You Need” by Vaswani et al. How They Work At the heart of a transformer […]
Original web page at medium.com
