ARTIFICIAL INTELLIGENCE EXECUTION: THE CUTTING OF DEVELOPMENT DRIVING PERVASIVE AND RESOURCE-CONSCIOUS MACHINE LEARNING APPLICATION

AI has achieved significant progress in recent years, with models surpassing human abilities in various tasks. However, the true difficulty lies not just in developing these models, but in utilizing them efficiently in practical scenarios. This is where machine learning inference takes center stage, emerging as a critical focus for scientists and t