Why Embeddings Matter: Solving Key Issues in Data Representation

TLDR: Embeddings convert words (and images, users, products) into dense numerical vectors in a geometric space where semantic similarity = geometric proximity. "King - Man + Woman ≈ Queen" is not magic — it is the arithmetic property of well-trained ...