Transformers for Beginners - An Introduction

This week's focus is on Transformers, a type of deep learning model introduced by Google Researchers in the paper "Attention is All You Need." Since their introduction, Transformers have been widely adopted and have significantly improved natural language processing (NLP) and automatic speech recognition (ASR). Notable models like BERT and GPT-3 are based on Transformers. Model libraries such as HuggingFace make it easy for developers to incorporate Transformer-based models into their projects. Unlike traditional deep learning models like RNNs and LSTMs, Transformers use attention mechanisms to process input sequences. This makes them more efficient and effective in handling long-range dependencies, leading to better performance in various NLP tasks.