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Nathan Labenz on AI's Great Implementation (Founder, AI R&D at Waymark)

Humans In AI

CHAPTER

How to Train a Fine Tuned Model to Do a Task

We had to go through a lot of different little tactics to figure out how do we clean our data set so that we're not teaching it to do that. One first version was like, just put like a placeholder. And now we sit there with something where it's okay for a penny or whatever. Anytime we need to do this again in the future, we can just do it. We use all the time. Some of the processing we do is like when our creative team makes new content, we like run it through some various like tagging and kind of computer vision to understand. They just make and then the AI helps us understand what it is in a couple of different important ways.

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