This post takes a closer look at the state of multilingual AI. How multilingual are current models in NLP, computer vision, and speech? What are the main recent contributions in this area? What challenges remain and how we can we address them?
We propose the problem of generalized exploration to conceptually unify exploration-driven learning between supervised learning and reinforcement learning, allowing us to highlight key similarities across learning settings and open research challenges.
This paper describes an approach of generating a prompt-directed mask using the same diffusion model used to generate and inpaint the images, thereby leveraging the investment already made in training the diffusion model.