Tiny Shakespeare PyTorch language model — 7 Steps

Build an autoregressive Elizabethan language model in PyTorch: character-level vocabulary encoding, sliding window sequence batching, 2-layer LSTM with gradient clipping, and temperature-scaled text sampling.

1. 01 Data ingestion & EDA
2. 02 Preprocessing without leakage
3. 03 TensorDataset & DataLoader
4. 04 nn.Module architecture
5. 05 Loss function & optimizer
6. 06 Training loop & backprop
7. 07 Eval, metrics & checkpoint