Embeddings: Meaning as Numbers
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In this lesson
Computers can’t compare meanings directly. “Car” and “automobile” share no letters, yet mean the same. Embeddings solve this: they turn each word, sentence or document into a list of numbers (a vector) so that similar meanings get similar numbers.
Every modern AI app uses them: search that understands meaning, recommendations, RAG chatbots over your documents, duplicate detection.
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