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How AI Is Built

Nicolay Gerold

How AI is Built dives into the different building blocks necessary to develop AI applications: how they work, how you can get started, and how you can master them. Build on the breakthroughs of others. Follow along, as Nicolay learns from the best data engineers, ML engineers, solution architects, and tech founders.

PublishesTwice weeklyEpisodes7Foundeda month ago
Category
Technology

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Artwork for How AI Is Built

Latest Episodes

In this episode of "How AI is Built", we learn how to build and evaluate real-world language model applications with Shahul and Jithin, creators of Ragas. Ragas is a powerful open-source library that helps developers test, evaluate, and fine-tune Ret... more

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37 hours ago

In this episode of Changelog, Weston Pace dives into the latest updates to LanceDB, an open-source vector database and file format. Lance's new V2 file format redefines the traditional notion of columnar storage, allowing for more efficient handling ... more

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6 days ago

Had a fantastic conversation with Christopher Williams, Solutions Architect at Supabase, about setting up Postgres the right way for AI. We dug deep into Supabase, exploring: more

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9 days ago

If you've ever wanted a simpler way to integrate AI directly into your database, SuperDuperDB might be the answer. SuperDuperDB lets you easily apply AI processes to your data while keeping everything up-to-date with real-time calculations. It works ... more

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15 days ago

Supabase just acquired OrioleDB, a storage engine for PostgreSQL. more

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18 days ago

Today’s guest is Antonio Bustamante, a serial entrepreneur who previously built Kite and Silo and is now working to fix bad data. He is building bem, the data tool to transform any data into the schema your AI and software needs. more

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22 days ago

Imagine a world where data bottlenecks, slow data loaders, or memory issues on the VM don't hold back machine learning. more

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a month ago

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