INTELLIGENT ALGORITHMS DECISION-MAKING: THE BLEEDING OF GROWTH ACCELERATING AVAILABLE AND OPTIMIZED NEURAL NETWORK IMPLEMENTATION

Machine learning has made remarkable strides in recent years, with algorithms matching human capabilities in diverse tasks. However, the real challenge lies not just in training these models, but in deploying them efficiently in practical scenarios. This is where machine learning inference takes center stage, surfacing as a key area for scientists

Artificial Intelligence has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the true difficulty lies not just in creating these models, but in utilizing them optimally in practical scenarios. This is where machine learning inference takes center stage, surfacing as a key area