Abstract: Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If ...

Abstract: Generative artificial intelligence can make powerful artifacts when used at scale, but developing trust in these artifacts and controlling their creation are essential for user adoption.