The Data Stack Show - The PRQL: What are LLMs Actually Good At? Featuring Nicolay Gerold

Episode Date: September 2, 2024

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Welcome to the Data Stack Show prequel. This is a short bonus episode where we preview the upcoming show. You'll get to meet our guest and hear about the topics we're going to cover. If they're interesting to you, you can catch the full-length show when it drops on Wednesday. Welcome back to the show. We're here with Nikolai Girald. Nikolai, welcome to the show. Give us some background today on some of your previous experience and give us some highlights. Hey, yeah, happy to be here. So I'm Nikolaj. I run an AI agency in Munich. We also recently

started Adventure Builder. Most of my history has been in LLMs and especially like controllable generations. So how to make them boring, which for me is like predictable, reliable and safe. And yeah, excited to chat with you today. Okay, Nikolai, we just spent a few minutes chatting to prepare for the show. And I'm really excited to dig into from your opinion, what LLMs are actually good at, and maybe what they're not so good at, but everybody still tries to make them do. What are you looking forward to chatting about? I'm really looking forward to discuss like AI startups versus software startups,

or even like AI versus data startups because it really goes into like the deterministic software versus like unpredictable AI discussion as well. All right, let's dig in. Let's do it. All right, that's a wrap for the prequel. The full-length episode will drop Wednesday morning. Subscribe now so you don't miss it.