NEURAL NETWORKS REASONING: THE APPROACHING BREAKTHROUGH REVOLUTIONIZING AVAILABLE AND OPTIMIZED COMPUTATIONAL INTELLIGENCE IMPLEMENTATION

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 utilizing them efficiently in practical scenarios. This is where machine learning inference becomes crucial, surfacing as a key area for experts and