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)

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