Came across this awesome interactive website today

-- open-source project explains everything about LLM Transformer Models!

- provides a detailed, visual explanation of how those models work.

A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including:

- Self-attention mechanisms
- Encoder-decoder architecture
- Positional encoding
- Multi-head attention
https://poloclub.github.io/transformer-explainer/