DEEP LEARNING PREDICTION: THE EMERGING BREAKTHROUGH IN REACHABLE AND STREAMLINED NEURAL NETWORK ADOPTION

Machine learning has advanced considerably in recent years, with systems surpassing human abilities in numerous tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where machine learning inference becomes crucial, emerging as a key area for researchers a