Self-attention is a technique that helps computers recognize important parts of information by looking at themselves.
Imagine you are reading a sentence and want to understand how the individual words are connected.
Self-attention looks at each word and decides how strongly it is related to the other words.
This way, the computer can better grasp important relationships to, for example, understand or translate texts.
This technique is often used in language and text tasks to better capture the context.