Generative model

We're gonna talk about Gaussian discriminant analysis.

So this is gonna be our first foray into generative models.

These generative models are pretty interesting because, you know, they're the G in GPT.

So you hear the ChatGPT, it's generative pre-trained transformers.

Um, we'll maybe do pre-training a little bit later, maybe transformers a little bit later, but today we're getting our first example of a generative algorithm.

We're gonna talk a little bit about this generative versus discriminative thing that I've just been mentioning.

These are a different class of these algorithms.

I would say one kind of side note, when we, we teach these lectures like, I don't know, six, seven years ago, whenever it was, when you talk about these generative models, people, like, weren't that interested in the generative models because they didn't seem like they got to state-of-the-art performance, right? But now they get to, uh, you know, they are responsible for a lot of the growth in AI, and the fact that they're learning these representations is actually quite valuable, okay? All right.