This course clearly explains the ideas behind the attention mechanism. It walks through the algorithm itself and how to code it in Pytorch. Attention in Transformers: Concepts and Code in PyTorch , was built in collaboration with StatQuest, and taught by its Founder and CEO, Josh Starmer.
The attention mechanism was a breakthrough that led to transformers, the architecture powering large language models like ChatGPT. Transformers, introduced in the 2017 paper “Attention is All You Need” by Ashish Viswani and others, revolutionized AI with their scalable design.
Learn how this foundational architecture works to improve your intuition about building reliable, functional, and scalable AI applications.