Self-Attention

Self-attention is a technique used by models to understand how different parts of a piece of data, like words in a sentence, relate to each other. It allows the model to weigh the importance of each word in context, considering how each one influences the others. For example, in a sentence, self-attention helps the model determine which words are most relevant to understanding the overall meaning. This process enables more accurate and nuanced comprehension, as the model dynamically focuses on the most important information across the entire input.