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3 tutorials
AI Fundamentals · Maths and Statistics for AI
The maths behind AI, without the fear: vectors and embeddings, matrices, derivatives and gradient descent, statistics, probability and Bayes, LLM sampling and evaluation metrics — all in NumPy.
AI Fundamentals · Python for AI
Learn Python from your very first line to calling an LLM from your own code: the basics, files and errors, NumPy, pandas, charts, web APIs and a complete AI project.
AI Fundamentals
A plain-language guide to what AI is, how large language models like ChatGPT produce answers, why they read tokens, and where they go wrong.