Tag: Beyond Attention: Transformer

Transformer models have revolutionized the field of artificial intelligence, particularly in natural language processing (NLP), computer vision, and even audio processing. These powerful models, first introduced in the groundbreaking paper "Attention is All You Need" by Vaswani et al. in 2017, have surpassed recurrent neural networks (RNNs) and convolutional neural networks (CNNs) in many tasks, becoming the cornerstone of state-of-the-art performance. This blog post will delve into the architecture, functionality, and applications of transformer models, providing a comprehensive understanding of this pivotal Technology. Understanding the Transformer Architecture The transformer architecture departs from traditional sequential processing methods by leveraging a mechanism called attention....