Diagram of a mini-GPT training loop with mixed precision, gradient accumulation, and optimizer components.

Building a Mini-GPT From Scratch: A Portfolio Project That Signals Real ML Systems Skill

A working engineer’s guide to building a mini-GPT training loop from scratch in PyTorch — featuring AMP, gradient accumulation, cosine warmup, weight tying, and AdamW — designed as a CV-grade portfolio piece.

September 4, 2026 · 15 min · 3092 words · martinuke0
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