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ChatGPT AI, Semantic Search, and Vector Databases with Ken Krugler | Ep. 18

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Manage episode 373470943 series 3463469
Content provided by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ 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.

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! On this week's episode, Tim chats with Ken Krugler about the popularity of vector databases and generative AI, such as ChatGPT-4, where they then explore Ken's work with Word2vec and the challenge of fast vector searches in advertising. Ken shares some fascinating insights into semantic search and the mechanics of working with large data sets. The conversation concludes with an appreciation for the depth and creativity that AI can offer, demonstrated by an interesting experiment Ken conducts with summarizing a philosophical paper using different character voices, like a surfer dude and a Jesuit priest.
Hierarchical Navigable Small World (HNSW): https://towardsdatascience.com/similarity-search-part-4-hierarchical-navigable-small-world-hnsw-2aad4fe87d37?gi=ea38f97d58f7

  continue reading

60 episodes

Artwork
iconShare
 
Manage episode 373470943 series 3463469
Content provided by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ 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.

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! On this week's episode, Tim chats with Ken Krugler about the popularity of vector databases and generative AI, such as ChatGPT-4, where they then explore Ken's work with Word2vec and the challenge of fast vector searches in advertising. Ken shares some fascinating insights into semantic search and the mechanics of working with large data sets. The conversation concludes with an appreciation for the depth and creativity that AI can offer, demonstrated by an interesting experiment Ken conducts with summarizing a philosophical paper using different character voices, like a surfer dude and a Jesuit priest.
Hierarchical Navigable Small World (HNSW): https://towardsdatascience.com/similarity-search-part-4-hierarchical-navigable-small-world-hnsw-2aad4fe87d37?gi=ea38f97d58f7

  continue reading

60 episodes

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