Text Embeddings: Comprehensive Guide

Evolution, visualisation, and applications of text embeddings

As human beings, we can read and understand texts (at least some of them). Computers in opposite “think in numbers”, so they can’t automatically grasp the meaning of words and sentences. If we want computers to understand the natural language, we need to convert this information into the format that computers can work with — vectors of numbers.

People learned how to convert texts into machine-understandable format many years …

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