Embeddings and vector space
Turning things into numbers that carry meaning, and what you can do with them.
Harvard's CS50 AI: search, knowledge, uncertainty, optimisation, learning, neural networks and language, through Python projects.
From the team behind Harvard's famous CS50, this course explores the ideas and algorithms at the foundation of modern AI — from search and logic to probability, machine learning and neural networks — with a hands-on Python project for each topic. The materials are free online.
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Turning things into numbers that carry meaning, and what you can do with them.
Attention, tokens and the architecture behind current language models — enough to reason about behaviour.
Model, parameter, inference, context, temperature — the terms, used correctly.