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ML

What are Embeddings? How Do They Help AI Understand the Human World?

The term “embedding” has become quite common in the descriptions of AI systems only during the last few years. It first appeared in the works of specialists in Natural Language Processing (NLP). It means a process or, more often, the result of a process of transforming a language entity (a word, sentence, paragraph, or the whole text) into a set of numbers — a numerical vector. In the Russian-language literature, embeddings are numerical vectors that are derived from words or other language entities.