The Mystique of AI Training

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The training process is based on an algorithm, which is just a fairly simple math problem. And it's so when people talk about training AI, and there's this kind of mystique associated with it, there's no mystique really there. It's just running an algorithm over and over and over again, until you get a more accurate, less error prone answer. Yeah, in that sense, it's kind of a brute force implementation of trial and error.

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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