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In this tutorial, we will learn about sentence embedding and its applications such as sentence similarity, semantic search, and clustering. Sentence embedding is a natural language processing technique that converts text or sentences into vector representations. By representing sentences numerically, we can perform mathematical operations to determine similarity and cluster them based on their representation. Good embeddings can capture semantic similarities between sentences in the real world.
