The state of open source AI

Practical AI: Machine Learning, Data Science, LLM

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.

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Featuring:

• Casper da Costa-Luis – GitHub
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

State of Open Source AI Book - 2023 Edition

Something missing or broken? PRs welcome!

Chương

1. Welcome to Practical AI (00:00:00)

2. Advent of Gen AI (00:00:43)

3. PremAI open source AI (00:02:03)

4. How to categorize open source AI (00:05:33)

5. Different types of open (00:08:44)

6. Alighned vs unaligned models (00:12:13)

7. The AI ecosystem (00:13:47)

8. Value of fine-tuning (00:16:06)

9. Large vision models (00:18:58)

10. The major model families (00:20:05)

11. Community around the book (00:22:51)

12. Where to find the book (00:25:00)

13. Sponsor: Changelog News (00:26:36)

https://changelog.com/news

14. How to use the book (00:28:20)

15. Desktop apps in open source AI (00:31:08)

16. Reflecting on the book (00:35:12)

17. Hot takes (00:36:21)

18. Encouraging open source contribution (00:37:25)

19. Closing thoughts (00:40:18)

20. Outro (00:41:41)