The Value of Foundation Models

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The value in doing what Daniel was just describing is in the fact that much of the training that occurs in a model is very resource intensive and very time consuming. And so if you can start by having somebody else like a big cloud provider do the first giant chunk of training, then you can take that almost done model and customize it to your need as can thousands and thousands of other people with different use cases. That's the value. So you can you can buy into a large model much easier.

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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