EXECUTING WITH NEURAL NETWORKS: A FRESH PHASE TRANSFORMING EFFICIENT AND AVAILABLE MACHINE LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the real challenge lies not just in creating these models, but in utilizing them optimally in practical scenarios. This is where inference in AI becomes crucial, emerging as a critical focus for experts and innovators