Raza Habib: evaluation

Transcript context

…And you had to pick your customers, so what did you end up picking? So in the end, our customer changed dramatically when we launched the latest iteration of HumanLoop. When we decided to focus much more on large language models, we suddenly went from a world in which we were building predominantly for machine learning engineers, people who knew a lot about ML, maybe had research backgrounds, to building for... And a much more product focused. Yeah, engineers. Something that, you know, some people I think would refer to as an AI engineer. So I've heard. And these are people who are much more focused on the outcome, on the product experience, on building something useful, and they're much more ambivalent towards the means that achieve the end. Yeah. And that works out as a much better customer for a tooling provider as well because they don't fight you to build everything themselves, they want good tools and they're happy to pay for them. Because they're trying to get to a good outcome as quickly as possible. So we found, we found a much better reception amongst that audience and also that we could add a lot more value to them because we could bake in best practices and knowledge we had, and that would make their lives much easier. And they didn't need to know so much about machine learning. Where do you find them? Because this is in like early 2021. Yeah. There were no. So, how did you find these early…

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