NEURAL NETWORKS DECISION-MAKING: THE DAWNING FRONTIER IN REACHABLE AND STREAMLINED NEURAL NETWORK INTEGRATION

Machine learning has advanced considerably in recent years, with models achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in everyday use cases. This is where inference in AI takes center stage, surfacing as a critical focus for researchers and te