PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: THE APEX OF DISCOVERIES FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK ADOPTION

AI has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in real-world applications. This is where machine learning inference takes center stage, emerging as a critical focus for scienti