Transformer

Definition

A deep learning architecture introduced by Google in 2017 that uses self-attention mechanisms to weigh the significance of each part of the input data.

Detailed Explanation

Transformer is a fundamental concept in Architecture that refers to a deep learning architecture introduced by google in 2017 that uses self-attention mechanisms to weigh the significance of each part of the input data.

The significance of Transformer cannot be overstated. As AI systems become more complex, mechanisms like this ensure scalability and accuracy.

Applications of Transformer

Real-world applications include advanced natural language processing, computer vision systems, and automated decision-making frameworks.

Last updated: February 2026