When AI models process language, they map words, phrases, and concepts into a multi-dimensional mathematical structure called representation space. This space organizes semantic meanings and relationships, enabling algorithms to understand context and similarity. Data scientists and NLP engineers benefit directly, using it to improve search engines, recommendation systems, and chatbots. It essentially serves as the conceptual backbone for machine understanding.
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