Semantics in AI refers to the meaning behind words and sentences and how computers understand that meaning. The goal of semantics in AI is to enable machines to understand and interpret human language in a way that is similar to how people understand it.

For example, a natural language processing (NLP) system might use semantic analysis to determine the sentiment behind a sentence — whether it is positive, negative, or neutral. An AI system that provides customer service might use semantics to understand the intent behind a customer's questions, and provide a relevant response.

Another example is an AI-powered search engine, which uses semantic analysis to understand the meaning behind a query and provide relevant results. By using semantics, these systems can understand the relationships between words and concepts, and provide more accurate results.

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