PREDICTING THROUGH AUTOMATED REASONING: A REVOLUTIONARY PERIOD REVOLUTIONIZING EFFICIENT AND ACCESSIBLE DEEP LEARNING FRAMEWORKS

Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in utilizing them optimally in real-world applications. This is where machine learning inference takes center stage, surfacing as a primary conce