First impressions of GPT-4o

Practical AI: Machine Learning, Data Science, LLM

Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.

Join the discussion

Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

• Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list.
• Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack.

Featuring:

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

Show Notes:

• Hello GPT-4o
• AI Engineer World’s Fair
• AIQCON - the AI Quality Conference
• Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)

Something missing or broken? PRs welcome!

Hoofdstukken

1. Welcome to Practical AI (00:00:00)

2. AI & protein synthesis (00:00:43)

3. GPT-4o (00:05:09)

4. Changes from 4 to 4o (00:06:43)

5. Video modality (00:10:06)

6. Sponsor: Ladder Life Insurance (00:12:31)

https://ladderlife.com/changelog

7. What should we talk about? (00:14:36)

8. Privacy concerns (00:15:57)

9. AI in the real world (00:20:19)

10. Sponsor: Neo4j (00:24:20)

https://www.neo4j.com/developer?utm_source=changelog&utm_medium=podcast&utm_campaign=practicalai

11. Migrating to a Kubernetes cluster (00:25:39)

12. GPT conversations (00:26:46)

13. Future of AI gadgets (00:27:40)

14. Where is value coming from? (00:29:24)

15. Shrinking gap between Open & closed models (00:34:24)

16. HuggingFace GPU compute (00:35:07)

17. Learning resources (00:37:46)

18. GPT closes us out (00:41:06)

19. Outro (00:42:42)