Self-hosting & scaling models

Practical AI: Machine Learning, Data Science, LLM

We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use cases for integrating self-hosted models and how the boom in generative AI has influenced that ecosystem.

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Featuring:

• Tuhin Srivastava – Twitter, GitHub
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Baseten

Something missing or broken? PRs welcome!

Разделы

1. Welcome to Practical AI (00:00:00)

2. Overview of Baseten (00:00:43)

3. We've come a long way (00:07:45)

4. Infrastructure & drones (00:09:06)

5. Hosting vs making a product (00:12:45)

6. Baseten's users (00:15:54)

7. Keep your data (00:18:55)

8. The approach to Baseten (00:19:50)

9. Difference in day to day (00:22:28)

10. Convenient auto-scaling (00:25:51)

11. Gotta go fast (00:27:02)

12. Where trends are going (00:29:05)

13. Running on the edge (00:33:09)

14. Solving future problems (00:35:25)

15. Wrapping up (00:39:39)