LinkAndrej KarpathyResource
Karpathy is one of the most prominent educators and practitioners in modern machine learning. His open-source implementations, lectures, and articles serve as foundational learning materials for engineers navigating deep learning and LLMs.
The website serves as a concise index to a decade of pivotal contributions to contemporary AI. Karpathy's career intersects core academic breakthroughs (such as dense captioning and ImageNet benchmarks) with large-scale industrial deployment at Tesla and OpenAI. His educational approach prioritises building models from scratch, as seen in projects like micrograd. Notably, the technical architecture of the site reinforces his preference for simplicity, avoiding framework overhead in favour of static HTML and CSS.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Repository:karpathy/nanoGPT
nanoGPT by Andrej Karpathy is a lean and fast codebase designed for training and fine-tuning medium-sized GPT models in PyTorch. Developed as a rewrite of minGPT, it can reproduce GPT-2 (124M). As of November 2025, the repository is officially marked as deprecated by the author, who recommends nanochat instead.
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