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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -8,7 +8,7 @@ The idea: give an AI agent a small but real LLM training setup and let it experi

## How it works

The repo is deliberately kept small and only really has a three files that matter:
The repo is deliberately kept small and only really has three files that matter:

- **`prepare.py`** — fixed constants, one-time data prep (downloads training data, trains a BPE tokenizer), and runtime utilities (dataloader, evaluation). Not modified.
- **`train.py`** — the single file the agent edits. Contains the full GPT model, optimizer (Muon + AdamW), and training loop. Everything is fair game: architecture, hyperparameters, optimizer, batch size, etc. **This file is edited and iterated on by the agent**.
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