How Self-Attention Actually Works (Simple Explanation)
PositiveArtificial Intelligence

Self-attention is a groundbreaking concept that enhances how modern Transformer models like BERT, GPT, and T5 operate. By enabling models to grasp the relationships between words in a sequence, regardless of their position, self-attention overcomes the limitations of earlier models like RNNs and LSTMs, which processed words sequentially. This innovation allows for better understanding of long-range dependencies in language, making it a crucial development in natural language processing.
— Curated by the World Pulse Now AI Editorial System

