In this 25th episode, Jerry, co-founder and CEO of LlamaIndex shares valuable insights for anyone implementing LLM solutions. I decided to focus on Retrieval Augmented Generation (RAG) since it is the current "hype" solution, but we also touched on LLMs in general, the importance of good communication and documentation and more about the business sides of things. I hope you enjoy this episode of the What's AI podcast!

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Chapters:

0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.

01:30 Jerry shares about his journey into AI

03:29 Went into AI product space instead of doing a master's degree and research?

04:56 Understanding the Basics of AI and LLMs

07:16 Beginner in AI... note down this recommendation!

09:50 Understanding LlamaIndex

12:40 Comparing LlamaIndex with Other Tools

16:30 Thoughts on Gemini?

19:29 Dealing with Multimodalities in LlamaIndex

21:25 Importance of Good Documentation

24:12 Deep Dive into Retrieval Augmented Generation (RAG)

28:35 RAG vs Fine-Tuning

34:43 The Importance of Chunking Size in RAG System

37:49 The Importance of Data Quality in Chunks

42:55 Evaluate the RAG system

46:05 The future of LLM

49:29 The Role of Prompt Engineering in AI

53:33 Which AI tools do you use?

Jerry Liu on the Future of AI: LlamaIndex, LLMs, RAG, Prompting and more ! What's AI Podcast Episode 25

What's AI Podcast by Louis-François Bouchard

Jerry Liu on the Future of AI: LlamaIndex, LLMs, RAG, Prompting and more ! What's AI Podcast Episode 25