Show HN: TurboGPT: train 22KiB transformer in 13s
TurboGPT, a project posted on Show HN, demonstrates how to train a tiny 22‑kilobyte transformer model in just 13 seconds. The author uses a minimal dataset and a lightweight training loop to achieve rapid convergence. The result is a compact language model that can be fine‑tuned or deployed on low‑resource devices. The post invites feedback from the community.