How to Set Parameters in a Machine Learning Model

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In reality, what happens is there's a thing called an architecture. You just have code that's written that does certain things within your function or within your data transformation. And so all of those things are combined or structured actually by a human programmer. The models that are used these days don't have one parameter like my simple cat dog model. They have billions of parameters that are set.

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.

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