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The state of open source AI
Manage episode 389066051 series 2385063
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.
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:
- 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!
Chapter
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)
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)
293 episode
Manage episode 389066051 series 2385063
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.
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:
- 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!
Chapter
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)
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)
293 episode
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