Artificial Intelligence / AI 0508 · Atom · ~20 seconds
Learning the Rows
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State
Real embeddings are learned — descent adjusts a few hundred numbers per word so that prediction error falls, and the resulting geometry organizes more than synonymy.
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The word2vec family is the classic recipe; directions in the learned space track relations the training never named.
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Nobody typed the geometry in — the rows sit wherever prediction pressure pushed them.
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- Nothing yet depends on this.