Course · Independent Instructors
A video lecture series that builds neural networks in code from backpropagation up to a GPT language model and its tokenizer.
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Free
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The series has 8 lectures totalling about 14.5 hours, starting with a small autograd engine (micrograd), moving through character-level language models (makemore) and ending with building GPT and a GPT tokenizer. Lectures are on YouTube and the code is in a public MIT-licensed GitHub repository. The course page describes it as ongoing.
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