When ML systems such as Google process text, they convert words and sentences into “embeddings” – essentially translating human language into lengthy sequences of numbers (vectors) that capture meaning in a mathematical space.
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When ML systems such as Google process text, they convert words and sentences into “embeddings” – essentially translating human language into lengthy sequences of numbers (vectors) that capture meaning in a mathematical space.
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