MACHINE LEARNING EXECUTION: THE BLEEDING OF GROWTH DRIVING AGILE AND UBIQUITOUS MACHINE LEARNING ALGORITHMS

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in real-world applications. This is where machine learning inference becomes crucial, emerging as a primary concern fo