EXECUTING USING AUTOMATED REASONING: THE APPROACHING PARADIGM ACCELERATING AVAILABLE AND OPTIMIZED NEURAL NETWORK IMPLEMENTATION

Machine learning has advanced considerably in recent years, with systems matching human capabilities in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them efficiently in everyday use cases. This is where machine learning inference takes center stage, emerging as a critical focus for researcher