Transformer Explainer
Interactive visualization tool showing how transformer models work in large language models (LLM) like GPT
About Transformer Explainer
This interactive visualization helps you understand how transformer models work. The tool provides a step-by-step walkthrough of the transformer architecture, showing how input text is processed through embeddings, attention mechanisms, and feed-forward networks to generate predictions.
Key Features:
- Interactive visualization of the GPT-2 transformer model
- Real-time model execution with customizable inputs
- Step-by-step breakdown of attention mechanisms
- Visual representation of embeddings and token processing
- Educational tooltips and explanations
Developed by the Polo Club of Data Science at Georgia Institute of Technology.