EXECUTING WITH COGNITIVE COMPUTING: THE PINNACLE OF TRANSFORMATION FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK ADOPTION

Machine learning has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in everyday use cases. This is where inference in AI comes into play, arising as a primary concern for scientist