Positional Encoding Types in Transformers
The transformer architecture revolutionized natural language processing and has since expanded to dominate computer vision, speech recognition, and numerous other domains. At the heart of this architecture lies a crucial but often misunderstood component: positional encoding. Unlike recurrent neural networks that process sequences step by step, transformers process entire sequences simultaneously through self-attention mechanisms. This … Read more