What is Transformer?
It is a powerful architectural structure that forms the basis of modern artificial intelligence models.
Overview
Transformer is a revolutionary architecture that enables today's artificial intelligence models to understand sentences as a whole. Thanks to its attention mechanism, it simultaneously analyzes the relationship between words in a sentence.
How it works
The model gives an 'attention' score to each word in the text. For example, in the sentence 'I went to the bank because I ran out of money', it mathematically calculates the strong bond of the word 'money' with the word 'bank' and grasps the context in this way.
Where it is used
It is at the heart of modern language models, translation tools, and text summarization systems such as ChatGPT.
Commonly confused with
It is not just a model, it is a basic architectural structure on which models are built.
Frequently asked questions
Why is it so popular?
Because it has the ability to process even very long texts without losing their context.
Is it only used for text?
No, today it is also used successfully in image and audio processing fields.
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 →