Open source licenses are not formally approved by any government or legal process, but recent developments in the EU raise concerns about the legality of the 'no warranty' clause in open source licenses. Developers should be aware of the differences between model weights, training data, and output in terms of model openness. They should consider whether model weights are available, if training data is described or available, and the licensing around the outputs of the model. Confusion exists among developers and legal entities about the ethical and legal implications of permissions regarding open source models.
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:
Show Notes:
State of Open Source AI Book - 2023 Edition
Something missing or broken? PRs welcome!