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3min chapter
Vector Databases, Embeddings, and a history of Deep Learning with Leo Dirac
Practically Intelligent
Challenges of Embeddings in Large-Scale Deployments and Data Protection
This chapter explores the challenges faced by engineering managers in implementing large-scale deployments of embeddings, focusing on privacy and security concerns. It discusses the emergence of security companies, predictions of new regulations, and the difficulties of managing raw and embedded data in vector databases.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode