EXECUTING WITH NEURAL NETWORKS: A FRESH PHASE REVOLUTIONIZING RESOURCE-CONSCIOUS AND ACCESSIBLE ARTIFICIAL INTELLIGENCE FRAMEWORKS

Machine learning has achieved significant progress in recent years, with algorithms achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in utilizing them optimally in everyday use cases. This is where machine learning inference comes into play, emerging as a critical focus for