Transformers Untamed: Taming Long Sequences With Sparsity
Transformer models have revolutionized the field of artificial intelligence, particularly in natural language processing (NLP). Their unique architecture and ability to handle long-range dependencies have led to breakthroughs in tasks like machine translation, text summarization, and question answering. This blog post will delve into the intricacies of transformer models, exploring their key components, advantages, and practical applications.
Understanding the Transformer Architecture
The transformer architecture, introduced in the paper "Attention is All You Need," deviates from traditional recurrent neural networks (RNNs) and convolutional neural networks (CNNs) by relying entirely on attention mechanisms. This allows for parallel processing of input sequences, leading to significant spe...