Generative AI systems across modalities, ranging from text, image, audio, and video, have
broad social impacts, but there exists no official standard for means of evaluating those …

This paper argues that the terms 'Sustainable artificial intelligence (AI)'in general and
'Sustainability of AI'in particular are overused to the extent that they have lost their meaning …

Language models (LMs) have become ubiquitous in both NLP research and in commercial
product offerings. As their commercial importance has surged, the most powerful models …

This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

The backpropagation algorithm remains the dominant and most successful method for
training deep neural networks (DNNs). At the same time, training DNNs at scale comes at a …

Since the launch of applications such as dall• e, Midjourney, and Stable Diffusion,
generative artificial intelligence has been controversial as a tool for creating artwork. Some …

We present OLMo 2, the next generation of our fully open language models. OLMo 2
includes dense autoregressive models with improved architecture and training recipe …

Abstract Language models (LMs) have become ubiquitous in both NLP research and in
commercial product offerings. As their commercial importance has surged, the most powerful …

Quinn et al propose challenge datasets in their work called``Kryptonite-N". These datasets
aim to counter the universal function approximation argument of machine learning, breaking …

The increasing usage of Artificial Intelligence (AI) models, especially Deep Neural Networks
(DNNs), is increasing the power consumption during training and inference, posing …