Interpreting via AI: A Pioneering Generation for Streamlined and Attainable Neural Network Architectures
Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in numerous tasks. However, the real challenge lies not just in creating these models, but in utilizing them effectively in real-world applications. This is where AI inference takes center stage, emerging as a primary concern for researche