Transformers: Beyond Language, Primed For Multimodal Mastery
Transformer models have revolutionized the field of artificial intelligence, particularly in natural language processing (NLP). From powering cutting-edge language models to enabling breakthroughs in computer vision, transformers are a cornerstone of modern AI. This blog post delves into the intricacies of transformer models, exploring their architecture, functionality, and impact on various applications.
Understanding the Architecture of Transformer Models
Transformer models diverge significantly from recurrent neural networks (RNNs) and convolutional neural networks (CNNs), primarily by leveraging the concept of attention. This allows them to process entire input sequences simultaneously, capturing long-range dependencies more effectively.
Attention Mechanism Explained
At the heart of th...








