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Discussion on "Word2Vec Demystified: From One‑Hot to Vector Magic (CBOW & Skip‑Gram Explained)". Last article we discussed RAGs; the central idea there is generating embeddings. In this post we'll explain how embedding models work — a small prerequisite is a basic understanding of neural networks