Where Words Live Inside an AI (Embeddings)

Description

Watch the full CS224U Explainers playlist: https://www.youtube.com/playlist?list=PL0RgXwRk7pIn7O57WsQduY9NJSy7gQuMk Where do words “live” inside an AI? In this episode, we unpack the core intuition behind embeddings: AI turns language into coordinates on a meaning map. Words that appear in similar contexts end up near each other, even if they look nothing alike. Why this matters: embeddings are the engine behind semantic search, “find similar,” retrieval-augmented generation (RAG), and why AI can match ideas without matching keywords. Practical takeaway: when your AI search feels “off,” the issue is often the map (what you fed it) — not the question you asked. Designed by Vic. Built with AI using Google NotebookLM Video Overviews. Not affiliated with Stanford or Google. Educational explainer content inspired by CS224U. #AI #NoMath #CS224U #Embeddings