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In this video tutorial, the focus is on creating sentence embeddings and utilizing them for various applications such as sentence similarity, semantic search, and clustering. Sentence embeddings are natural language processing techniques that convert text or sentences into vector representations. By representing sentences numerically, mathematical operations can be performed to determine similarity between sentences, cluster them based on their representation, and identify semantic similarities. Good embeddings reveal semantic similarities between sentences in the real world.
