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3min chapter
Vector databases (beyond the hype)
Practical AI
Exploring the Intersection of Transformers and Vector Databases
This chapter explores how transformer models can be integrated with vector databases to enhance search capabilities through semantic sentence embeddings. It also discusses advancements in large language model safety, particularly the automation of adversarial attacks that can lead to unexpected outputs.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode