Apple Intelligence & Advanced RAG

Practical AI: Machine Learning, Data Science

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.

Leave us a comment

Changelog++ members save 6 minutes on this episode because they made the ads disappear. Join today!

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.
• Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control.
• Backblaze – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options.

Featuring:

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

Show Notes:

• Apple Intelligence
• Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac
• The top AI features Apple announced at WWDC 2024
• Hybrid Search: Combining BM25 and Semantic Search for Better Results with Langchain
• Advanced RAG: Precise Zero-Shot Dense Retrieval with HyDE

Something missing or broken? PRs welcome!

Luvut

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Neo4j (00:00:44)

https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&utm_campaign=UCGenAI&utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&utm_medium=Audio&utm_source=PracticalAI&utm_justglobal=

3. Staying fully connected (00:02:06)

4. Our past predictions (00:02:54)

5. Reality of adopting AI (00:03:59)

6. Shifting roles (00:06:14)

7. Realizing usability (00:09:12)

8. Full stack AI development (00:11:39)

9. Sponsor: Plumb (00:13:27)

https://useplumb.com/

10. Apple Intellegence (00:15:06)

11. Closed model concerns (00:20:01)

12. Balancing privacy & performance (00:24:09)

13. Sponsor: Backblaze (00:29:09)

https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai

14. RAG pipelines (00:31:14)

15. How to improve your RAG (00:36:14)

16. Hybrid search (00:40:00)

17. Re-ranking (00:41:44)

18. It's been fun! (00:43:57)

19. Outro (00:44:19)