We have already familiarized ourselves with the concept of self-attention as implemented by the Transformer attention mechanism for neural machine translation. We will now be shifting our focus to the details of the Transformer architecture itself to discover how self-attention can be implemented without relying on the use of recurrence and convolutions. In this tutorial, […]
A Swin Transformer-based model for mosquito species identification
Neural machine translation with a Transformer and Keras, Text
pytorch - How to properly prompt the decoder of a Transformer model? - Stack Overflow
Transformer model architecture (this figure's left and right halves
Foundation Models, Transformers, BERT and GPT
New transformer architecture can make language models faster and resource-efficient
How do Transformers work? - Hugging Face NLP Course
The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.
Attention Is All You Need: The Core Idea of the Transformer, by Zain ul Abideen
The Transformer Model
Optimize Transformer Model Inference on Intel® Processors
What is a Transformer?
Transformer Model Architecture. Transformer Architecture [26] is
A Timeline of Large Transformer Models for Speech
