Know about diffusion models
What Is Generative Models? A generative model can be seen as a way to model the conditional probability of the observed $X$ given a target $y$ (e.g., given a target ‘dog’, generate a picture of the dog). Once trained, we can easily sample a stance of $X$. While training a generative model is significantly more challenging than a discriminative model (e.g., it is more difficult to generate an image of a dog than to identify a dog in a picture), it offers the ability to create entirely new data....