no code implementations • 3 Nov 2023 • James Boyko, Joseph Cohen, Nathan Fox, Maria Han Veiga, Jennifer I-Hsiu Li, Jing Liu, Bernardo Modenesi, Andreas H. Rauch, Kenneth N. Reid, Soumi Tribedi, Anastasia Visheratina, Xin Xie
In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision.
no code implementations • 1 Nov 2023 • Jamie Fogel, Bernardo Modenesi
Our classifications identify important dimensions of worker and job heterogeneity that standard classifications based on occupations and sectors miss.
no code implementations • 23 Feb 2023 • Cristian Munoz, Kleyton da Costa, Bernardo Modenesi, Adriano Koshiyama
Rapid advancements in artificial intelligence (AI) technology have brought about a plethora of new challenges in terms of governance and regulation.