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Members-Only
Recent Talks & Demos are for members only
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Learn to train your own LLM chatbot from scratch using Andrej Karpathy's nanochat. This talk covers tokenization, pretraining, finetuning, and evaluation, enabling you to run an LLM on a single GPU.
I’ll walk the audience through Andrej Karpathy’s latest reincarnation of minGPT/nanogpt, namely nanochat. This repo contains all major LLM stages including tokenization, pretraining, finetuning, evaluation, inference, and even a chat UI. Its minimalistic implementation allows you to train and evaluate an LLM from scratch, on a single GPU node or even a CPU. With access to better GPU machines (e.g. an 8X H100), you can get up to GPT2-level performance in under 2 hours!
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