EXECUTING WITH NEURAL NETWORKS: THE VANGUARD OF TRANSFORMATION IN OPTIMIZED AND AVAILABLE MACHINE LEARNING ALGORITHMS

Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them effectively in everyday use cases. This is where machine learning inference takes center stage, emerging as a key area for experts