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Understanding n-Dimensional Vectors in Generative AI
This chapter explores the role of n-dimensional vectors in representing complex data within generative AI. It discusses the significance of dimensionality and embeddings, showcasing how they allow for enhanced content comparison and semantic search. The chapter also examines various embedding models from tech companies and the considerations required for effective data management and storage.