DECIDING VIA MACHINE LEARNING: A CUTTING-EDGE AGE REVOLUTIONIZING RESOURCE-CONSCIOUS AND ACCESSIBLE MACHINE LEARNING ECOSYSTEMS

Machine learning has made remarkable strides in recent years, with models matching human capabilities in various tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in practical scenarios. This is where machine learning inference becomes crucial, arising as a primary concern for scientists and i