AI & Data
Build a small GPT-style language model step by step. Collect and clean text, write a BPE tokeniser, code embeddings, self-attention and transformer blocks, then train, save and sample from your model. Learn scaling laws, multi-GPU training, instruction tuning, RLHF and DPO, evaluation and quantisation, and finish by chatting with your own mini LLM.
A podcast overview of the course. Listen before you start, or while you travel.
How Large Language Models Are Built
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What is a Large Language Model?
See what an LLM really does, predicting the next token, and meet the TinyGPT ...
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