Causal Language Modeling With Autoregressive Token Generation

via “causal language modeling pretraining with next-token prediction loss”

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Unique: Implements training with explicit loss computation on shifted sequences (input[:-1] predicts target[1:]), making the causal prediction objective transparent. Includes detailed logging of loss curves and validation metrics, enabling visual inspection of training dynamics.

vs others: More interpretable than Hugging Face Trainer because loss computation is explicit and modifiable; slower due to lack of distributed training and gradient accumulation, but suitable for educational purposes and small-scale experiments.