Executing through Machine Learning: A Disruptive Cycle accelerating Efficient and Reachable Smart System Frameworks
Machine learning has made remarkable strides in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where AI inference takes center stage, emerging as a primary concern for scientists and ind