On the Challenges and Opportunities in Generative AI

arXiv:2403.00025v1 Announce Type: new
Abstract: The field of deep generative modeling has grown rapidly and consistently over the years. With the availability of massive amounts of training data coupled with advances in scalable unsupervised learning paradigms, recent large-scale generative models show tremendous promise in synthesizing high-resolution images and text, as well as structured data such as videos and molecules. However, we argue that current large-scale generative AI models do not sufficiently address several fundamental issues that hinder their widespread adoption …

abstract advances arxiv availability challenges cs.ai cs.lg data generative generative modeling generative models images massive modeling opportunities scalable scale show text training training data type unsupervised unsupervised learning