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In this tutorial, we will learn how to create sentence embeddings for applications like sentence similarity, semantic search, and clustering. Sentence embeddings are a natural language processing technique that converts sentences into vector representations. By representing sentences numerically, we can perform mathematical operations to determine similarity and cluster sentences based on their representation. Good embeddings can identify semantically similar sentences in the real world.
