Transformer model architecture

What Is a Transformer Model?

A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence.

Attention Is All You Need

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism.

How does today’s language model do text editing? Introduction to transformer

Transformer model architecture,based solely on attention mechanisms,a new development in machine learning that have been making a lot of noise lately. They are incredibly good at keeping track of context, and this is why the text that they write makes sense.

How Transformers Work: A Detailed Exploration of Transformer Architecture

Explore the architecture of Transformers, the models that have revolutionized data handling through self-attention mechanisms.