The new AI app stack

Practical AI

Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration.

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

Emerging Architectures for LLM Applications

Something missing or broken? PRs welcome!

챕터

1. Welcome to Practical AI (00:00:07)

2. Deep dive into LLMs (00:00:43)

3. Emerging LLM app stack (00:02:25)

https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/

4. Playgrounds (00:04:35)

5. App Hosting (00:08:07)

6. Stack orchestration (00:10:46)

7. Maintenance breakdown (00:15:50)

8. Sponsor: Changelog News (00:19:08)

https://changelog.com/news

9. Vector databases (00:20:43)

10. Embedding models (00:22:36)

11. Benchmarks and measurements (00:24:27)

12. Data & poor architecture (00:26:59)

13. LLM logging (00:29:42)

14. Middleware Caching (00:33:01)

15. Validation (00:37:32)

16. Key takeaways (00:40:53)

17. Closing thoughts (00:42:36)

18. Outro (00:44:23)