AI is more than GenAI (Practical AI #285)

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GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.

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Sponsors:

• Speakeasy – Production-ready, enterprise-resilient, best-in-class SDKs crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! Create your first SDK for free!

Featuring:

• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• scikit-learn
• AutoML in Google Cloud

Something missing or broken? PRs welcome!

챕터

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Speakeasy (00:00:48)

https://speakeasy.com/

3. Show rundown (00:01:47)

4. AI ≠ Generative AI (00:02:44)

5. Tour of AI ML history (00:03:34)

6. 1st phase of ML (00:04:45)

7. Parameterized software functions (00:06:12)

8. Forming the model (00:09:43)

9. Foundation models (00:12:59)

10. 1st aside (00:19:23)

11. 2nd aside (00:22:49)

12. Most recent phase (00:25:16)

13. Current state of AI (00:28:51)

14. Still efficient (00:32:06)

15. Role specific models (00:33:46)

16. Combination of models (00:35:01)

17. It's not fairy dust (00:36:06)

18. Wrapping up (00:37:19)

19. Outro (00:39:17)