[Research] Understanding The Attention Mechanism In Transformers: A 5-minute visual guide. 🧠

TL;DR: Attention is a “learnable”, “fuzzy” version of a key-value store or dictionary. Transformers use attention and took over previous architectures (RNNs) due to improved sequence modeling primarily for NLP and LLMs.

[What is attention and why it took over LLMs and ML: A visual guide](https://open.substack.com/pub/codecompass00/p/visual-guide-attention-mechanism-transformers?r=rcorn&utm_campaign=post&utm_medium=web)

https://preview.redd.it/8aoqz10hjnyc1.png?width=1903&format=png&auto=webp&s=234b7aa38e9eee56d9d91f70f69ff81a7c666ff7

architectures attention dictionary guide key key-value store llms machinelearning modeling nlp research store transformers understanding value visual