PREDICTIVE MODELS EXECUTION: THE FOREFRONT OF GROWTH REVOLUTIONIZING EFFICIENT AND AVAILABLE DEEP LEARNING ARCHITECTURES

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in utilizing them optimally in real-world applications. This is where inference in AI comes into play, surfacing as a primary concern for scientists an