Few researchers have addressed the issue of the causality between public deficit and economic growth. Previous work has ...

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Tech workers are increasingly worried that the artificial intelligence they are building will replace them. But some are optimistic that it is just one more tool to work with.