Mamba & Jamba

Practical AI: Machine Learning, Data Science, LLM

First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav.

Join the discussion

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

Sponsors:

• 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.
• Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today.

Featuring:

• Yoav Shoham – Twitter, LinkedIn
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Jamba - A Groundbreaking SSM - Transformer Open Model
• AI21 Labs

Something missing or broken? PRs welcome!

Bab

1. Welcome to Practical AI (00:00:00)

2. Introducing Yoav! (00:00:43)

3. AI21's background (00:01:41)

4. Enterprise use-cases (00:05:47)

5. Deciding value (00:08:43)

6. Sponsor: Changelog News (00:14:26)

https://changelog.com/news

7. Architecting AI systems (00:16:25)

8. Interacting with AIOS (00:19:39)

9. Jamba heritage (00:22:09)

10. Why switch architecture? (00:24:47)

11. What it took to get here (00:28:17)

12. Why go open source? (00:32:40)

13. Jamba family innovation (00:34:45)

14. Where is Jamba going? (00:37:04)

15. Thanks AI21! (00:39:37)

16. Outro (00:40:26)