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In this video tutorial, the host 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 converts text or sentences into vector representations. This enables mathematical operations to assess the similarity between sentences. By representing sentences numerically, one can identify semantic similarities and cluster them accordingly. The tutorial emphasizes the importance of good embeddings that reflect real-world semantic relationships between sentences.
