MACHINE LEARNING PROCESSING: THE IMMINENT PARADIGM REVOLUTIONIZING AVAILABLE AND OPTIMIZED NEURAL NETWORK EXECUTION

Machine learning has achieved significant progress in recent years, with algorithms achieving human-level performance in various tasks. However, the true difficulty lies not just in training these models, but in deploying them optimally in practical scenarios. This is where machine learning inference becomes crucial, emerging as a primary concern f