Build GPT from Scratch

• ✓Build a decoder-only GPT language model from scratch in PyTorch and generate text with it
• ✓Turn raw text into training data with a byte-pair tokenizer, token embeddings, and positional encoding
• ✓Implement scaled dot-product self-attention with causal masking, by hand
• ✓Assemble the transformer block — attention, residual connections, layer norm, and a feed-forward layer
• ✓Train the model with next-token cross-entropy loss and watch the loss fall
• ✓Generate text autoregressively from your trained model

Build the engine inside ChatGPT, Gemini, and Llama — a GPT you write yourself, from the tokenizer up to text generation, so the transformer is never a black box again.