Episode #574: Evals, Ontologies and the Unmappable World of Business
Crazy Wisdom

Episode #574: Evals, Ontologies and the Unmappable World of Business

B2Upper-intermediateSeptember 28, 202647 min

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Ryan Marsh of thestack.io to explore what it really takes to build production AI systems. They discuss how production AI has evolved from simple prompt-to-API demos into complex systems requiring evaluation suites, human-in-the-loop feedback mechanisms, and sophisticated approaches to handling context and data retrieval. The conversation covers the challenges of domain mapping, the fundamental difficulty of translating messy human business processes into structured systems, and the role of ontologies in AI development. Ryan and Stewart also examine the limitations of LLMs, the debate between...

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Welcome to the Crazy Wisdom podcast. I've got Ryan Marsh, the stack.io. And we're going to talk

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0:00

Welcome to the Crazy Wisdom podcast. This podcast is for you if you have an insane drive to find the truth of things. It's not the good answers that we seek, but the good questions. I interview a range of different guests from many different fields all with the intention to uncover the simple truths that are hidden in plain sight. Most people don't want to go there. I go there. My guests go there and you benefit.

0:25

Welcome to the Crazy Wisdom podcast. I've got Ryan Marsh, the stack.io. And we're going to talk a lot about what it means to build production AI systems. Welcome to the show. Thanks, sir. Good to see you again. Good to see you. So production AI, we've talked a lot about AI since it first started. Where

0:49

is it come, what does production AI mean? Where like, what does a company need to know to understand how to build production AI? And I'll set it up a little bit more because I've now got in production technically for me and my freelancer, this software that we're using right now, I've got this in production, but that's not what production means, right? Because production means

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