nanogpt-aurora-tst. Clearing the nanoGPT speedrun's 3.28 val-loss target on one H200 by stacking the Aurora optimizer and Token Superposition Training (TST) on an untouched Transformer.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.