AI Foundations, Explained

Clear, no-hype explainers of how modern AI actually works: reasoning models, embeddings, retrieval, fine-tuning and the ideas behind the headlines. For practitioners who want to understand what they are actually using.

The lessons

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Part 1 · 7 min
What Are Embeddings? How Meaning Becomes Math
An embedding turns meaning into a location so that similarity becomes distance. That one idea is the engine under semantic search, recommendations, and the retrieval half of every RAG system, and it is cheap enough to run on your own data.