PREDICTIVE MODELS EXECUTION: THE FOREFRONT OF IMPROVEMENT REVOLUTIONIZING AVAILABLE AND OPTIMIZED NEURAL NETWORK ADOPTION

Machine learning has achieved significant progress in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in training these models, but in deploying them effectively in real-world applications. This is where machine learning inference comes into play, emerging as a key area for scient