ANALYZING VIA MACHINE LEARNING: THE ZENITH OF DISCOVERIES FOR ENHANCED AND ATTAINABLE NEURAL NETWORK SYSTEMS

Machine learning has achieved significant progress in recent years, with models surpassing human abilities in various tasks. However, the real challenge lies not just in developing these models, but in utilizing them optimally in real-world applications. This is where inference in AI takes center stage, surfacing as a primary concern for experts an