Large Language Models from scratch
Graphics in 5 Minutes · 3 HN recommendations
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A short cartoon explaining how language models like ChatGPT work, from autocomplete and conditional probabilities to neural networks, gradient descent and backpropagation. It shows how networks act as universal function approximators.
Why HN recommends it: HN recommends it as a quick, non-dumbed-down way to get up to speed on how LLMs are built.
“I highly recommend this video by Steve Seitz” Read on HN ↗