Gemini vs OpenAI

Practical AI: Machine Learning, Data Science, LLM

Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.

We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.

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Sponsors:

• 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. Visit Neo4j.com/developer to get started.
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Featuring:

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

Show Notes:

• Gemini
• FCC decision on AI voices
• FCC Bans AI Voices in Unsolicited Robocalls
• Prompt Engineering Guide

Something missing or broken? PRs welcome!

Chapters

1. Welcome to Practical AI (00:00:06)

2. Get fully-connected (00:00:43)

3. FCC AI robocall ruling (00:01:20)

4. Regulations to come (00:08:12)

5. Google's Gemini tiers (00:10:10)

6. Lack of competitors (00:16:17)

7. New Multi-modal models & Apple's image editing model (00:19:53)

8. Growing data analytics usecases (00:21:46)

9. Sponsor: Neo4j (00:25:29)

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

10. Under the hood of these models (00:26:38)

11. Neuro-symbolic methods & hybrid methods (00:32:15)

12. Innovating smaller models (00:35:02)

13. Copilot x Windows (00:36:51)

14. AI tools in schooling (00:38:04)

15. Prompt engineering guide (00:41:02)

16. Goodbye! (00:42:24)