minGPT is simplified to emphasise functionality over instruction in nanoGPT. It trains and fine-tunes medium-sized GPT models, reproducing GPT-2’s OpenWebText performance in 38 hours on a single 8XA100 40GB node. The training loop and GPT model definition have 300 lines in the simple codebase. Also, it can load GPT-2 weights from OpenAI. NanoGPT is led by AI expert Andrej Karpathy, a Tesla AI director and OpenAI founder.
User objects:
– AI researchers
– Machine learning engineers
– Developers interested in GPT models
– Educational institutions for advanced projects
– Tech companies exploring language models
– AI enthusiasts with technical background
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