Show HN: PicoGPT – GPT in a QR Code (github.com)

Andrej Karpathy has introduced PicoGPT, a remarkably compact version of GPT that fits entirely within a QR code. This initiative demonstrates significant advancements in the miniaturization of machine learning models, boasting a streamlined implementation consisting of just 84 lines of Python code. PicoGPT includes essential components like a custom Autograd engine, multi-head attention, a feed-forward MLP with GeLU approximation, and the AdamW optimizer, alongside training and inference loops. The significance of PicoGPT lies in its potential to push the boundaries of model deployment, making it easier for developers to integrate sophisticated AI directly into mobile and web applications. The project exemplifies the growing trend toward efficiency in AI models, as smaller, highly optimized prototypes allow for faster testing and broader accessibility. By adapting code from previous projects like "Doom running inside a QR code," Karpathy not only showcases technical prowess but also invites further exploration into novel applications of AI, sparking curiosity within the AI/ML community.