MACHINE LEARNING DECISION-MAKING: THE ZENITH OF DISCOVERIES DRIVING ACCESSIBLE AND EFFICIENT NEURAL NETWORK OPERATIONALIZATION

Artificial Intelligence has made remarkable strides in recent years, with algorithms matching human capabilities in diverse tasks. However, the main hurdle lies not just in training these models, but in deploying them effectively in everyday use cases. This is where inference in AI becomes crucial, surfacing as a primary concern for experts and inn