What is Attention?
A mechanism that allows artificial intelligence to focus on the most important pieces within a text or data.
Overview
The attention mechanism allows artificial intelligence to understand which words are related to each other in a long sentence or text. For example, in the sentence 'The cat drank the milk because it was hungry', this mechanism is used to understand that the word 'hungry' is related to 'cat'. It is the most fundamental technology behind the success of modern artificial intelligence models.
How it works
The model gives each word an 'importance score' and calculates its connections to other words in the sentence.
Where it is used
Used in Transformer models, LLMs and translation tools.
Commonly confused with
Not to be confused with human attention; This is a purely mathematical weighting process.
Frequently asked questions
Why is it so important?
Thanks to this mechanism, artificial intelligence can understand the context much better.
Is it available on every model?
It is standard in almost all modern AI models that use the Transformer architecture.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →