Interactive Lab
Attention in LLMs
Large Language Models are essentially massive neural networks supercharged by an Attention Mechanism.
In an effort to better understand what's going on under the hood, I built a couple of visualizers. I hope it's somewhat illustrative for you!
The Breakthrough
Self Attention
The foundation of modern LLMs. Understand the quadratic memory wall and why context length is limited.
Check it out
The Scaling Mechanism
Ring Attention
The distributed solution for infinite context. See how KV blocks rotate through a cluster without information loss.
Check it out
Dual Metaphor
Switch between 'Story Mode' for intuition and 'Tech Mode' for precision.
Real-Time Math
Watch Online Softmax update as context rotates through the cluster.
No Information Loss
Learn why Ring Attention is bit-perfect, unlike RAG or sliding windows.