From ML to AI to Generative AI

Practical AI

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.

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Featuring:

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

Show Notes:

• NYT Article: “Europeans Take a Major Step Toward Regulating A.I.”

Something missing or broken? PRs welcome!

챕터

1. Welcome to Practical AI (00:00:00)

2. Fully Connected (00:00:43)

3. What is AI today? (00:02:38)

4. A big AI misconception (00:05:54)

5. Generative AI (00:14:18)

6. Foundation models (00:16:48)

7. Generative models (00:18:22)

8. Sponsor: Changelog News (00:26:20)

https://changelog.com/news

9. AI and the destruction of mankind (00:27:45)

10. AI pilots (00:33:26)

11. Fundamentally transforming humans (00:41:42)

12. Outro (00:45:54)