
Transformers: Unlocking The Language Of DNA
Transformer models have revolutionized the field of natural language processing (NLP) and have since extended their reach into computer vision and other areas. Their ability to process sequential data in parallel, capture long-range dependencies, and scale to enormous datasets has led to breakthroughs in machine translation, text generation, and a host of other applications. This blog post delves into the architecture, functionality, and impact of transformer models, offering a comprehensive understanding of this game-changing technology.
Understanding the Transformer Architecture
The transformer architecture, introduced in the groundbreaking paper "Attention is All You Need," marked a significant departure from previous recurrent neural network (RNN)-based models. Instead of processing se...