Transformer Explainer in AI answers

Transformer Explainer is a web-based educational tool that visualizes how transformer models process text, using interactive prompts and data visualizations. It is powered by the GPT-2 (small) model with 124 million parameters, illustrating core components such as tokenization, embeddings, positional encoding, attention, and the feed-forward MLP that produce next-token probabilities. The aim is to help users understand transformer architecture and how prompts are converted into embeddings and predictions through step-by-step visual explanations.