How a Transformer Plays Tic-Tac-Toe

Short summary

An interactive guide that teaches transformer architecture by predicting tic-tac-toe moves instead of next tokens, making every matrix multiplication and attention step visualizable. Covers tokenization, positional encoding, self-attention, multi-head attention, causal masking, MLPs, and model ablations. Each stage includes interactive visualizations from input tokens to final prediction.

• •Interactive transformer tutorial using tic-tac-toe instead of language prediction
• •Covers full pipeline: embeddings, attention, MLP, ablations
• •Every stage includes visualizations of matrix operations and token flow

Generated with AI, which can make mistakes.