Hands‑On Activation Checkpointing for GPT Training From Scratch
Implement activation checkpointing for GPT training from scratch, with runnable Python code and production‑grade insights.
Implement activation checkpointing for GPT training from scratch, with runnable Python code and production‑grade insights.
A step‑by‑step guide to training a tiny GPT model from scratch, covering RoPE, RMSNorm, and GQA with runnable PyTorch code.
A step‑by‑step implementation of a tiny GPT with rotary positional embeddings, from architecture to runnable code, perfect for demonstrating systems skill to hiring managers.
Build a tiny GPT end-to-end in NumPy to demonstrate ownership of the ML stack: mixed precision, AdamW, cosine LR, and gradient accumulation. Code-first, with a roadmap to production-grade upgrades.