Plans for Second Volume and Skepticism about AGI

1min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

The speaker is planning ten new chapters for a second volume, covering developments in 2023 and 2024. They express enthusiasm for fine-tuning and lowering entry barriers in the ecosystem but express skepticism about the hype around AI achieving artificial general intelligence (AGI), stating that current models are not trustworthy to be more intelligent than a well-trained secretary.

The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.

During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs & more.

Leave us a comment

Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today.
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.

Featuring: