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In this tutorial, the speaker explains how to create sentence embeddings and their applications, including sentence similarity, semantic search, and clustering. Sentence embedding is a natural language processing technique that transforms text or sentences into vector representations. By converting sentences into numerical forms, various mathematical operations can be performed to assess the similarity between sentences and to group them based on their numerical representations. Effective embeddings will reflect semantic similarities present in the real world, enabling tasks such as clustering based on meaning.
