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Ep. 127 - Vector databases in AI

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Content provided by S&P Global Market Intelligence and P Global Market Intelligence. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by S&P Global Market Intelligence and P Global Market Intelligence or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

While it’s not often acknowledged, much of the progress in technology is underpinned by the idea that “everything old is new again” and vector databases, a concept that is many years old, are having a moment in generative AI. Analyst James Curtis joins host Eric Hanselman to dig into why this powerful idea has become so valuable in large language models and other aspects of AI. While it’s possible to overlay vector functions on a traditional database for data access, it may not be advisable.

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101 episodes

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Ep. 127 - Vector databases in AI

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Manage episode 372899960 series 2877784
Content provided by S&P Global Market Intelligence and P Global Market Intelligence. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by S&P Global Market Intelligence and P Global Market Intelligence or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

While it’s not often acknowledged, much of the progress in technology is underpinned by the idea that “everything old is new again” and vector databases, a concept that is many years old, are having a moment in generative AI. Analyst James Curtis joins host Eric Hanselman to dig into why this powerful idea has become so valuable in large language models and other aspects of AI. While it’s possible to overlay vector functions on a traditional database for data access, it may not be advisable.

  continue reading

101 episodes

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