Generative AI
In this work, we present Lag-Llama, a general-purpose probabilistic time series forecasting model trained on a large collection of time …
In this work, we investigate the challenges associated with developing goal-driven AI agents capable of performing open-ended tasks in …
Text-conditioned image generation models have recently shown immense qualitative success using denoising diffusion processes. However, …
Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing …
Equivariant networks are specifically designed to ensure consistent behavior with respect to a set of input transformations, leading to …
Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can …
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code …
Large pre-trained models have proved to be remarkable zero- and (prompt-based) few-shot learners in unimodal vision and language tasks. …
We introduce the StatCan Dialogue Dataset consisting of 4967 conversations between agents working at Statistics Canada and online users …
The generative modeling landscape has experienced tremendous growth in recent years, particularly in generating natural images and art. …