DEEP LEARNING DEDUCTION: THE FOREFRONT OF IMPROVEMENT IN REACHABLE AND STREAMLINED NEURAL NETWORK INCORPORATION

Artificial Intelligence has made remarkable strides in recent years, with models matching human capabilities in various tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in real-world applications. This is where machine learning inference takes center stage, emerging as a critical focus fo