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.

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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!

Chapters

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)

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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)