Learning

OpenAI's official collection of examples and guides for the OpenAI API — embeddings, RAG, function calling, evals, structured outputs and more.

Sebastian Raschka's step-by-step guide (and book code) to implementing a GPT-style large language model in PyTorch from the ground up.

A catalogue of advanced Retrieval-Augmented Generation techniques, each with a detailed, runnable notebook tutorial.

Microsoft's 21-lesson course to start building with generative AI — prompting, RAG, agents, fine-tuning and responsible use — with runnable examples.