Pregraph

Machine learning

How large language models work

Tokens, embeddings, attention and the transformer, pretraining and fine-tuning. Enough to reason about what a model can and can't do.

About 15 hours of study.

Where to learn it

Read
The Illustrated Transformer

Jay Alammar

The whole post

The clearest picture of attention there is.

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Watch
Neural Networks: Zero to Hero

Andrej Karpathy

Let's build GPT, then Intro to large language models

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Practise

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Which roles ask for it

Before and after

Learn first

Helps to know: Linear algebra and Probability

How large language models work