Open win10ogod opened 1 year ago
well there is stuff like this:
The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space. When used in text generation, it means learning language structure and semantics. I think it should be able to be used in text generation. But I'm not an industry person, just a hobbyist.
Does using a diffusion model in a language model increase the generality of the language model?