What Can Generative AI Do for Data People? (W/ Sarah Nagy + Chris Aberger)
The Analytics Engineering Podcast
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Is There a Lesson to Be Drawn From This?
Tristan: What I've heard that they were doing a lot of over the couple of years is actually talked a little bit about that self supervision, right? We can just feed in the data and the models trained. And so that led to, you know, this what they're calling like, GPT 3.5, which is effectively chat GPT that's been released. But more broadly, there is work to be done between a large language model and maybe a version of that model that could be usefully productized in a given context.
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