MACHINE LEARNING INTERPRETATION: THE EMERGING HORIZON TRANSFORMING UNIVERSAL AND AGILE NEURAL NETWORK EXECUTION

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in practical scenarios. This is where inference in AI comes into play, arising as a critical focus for scientists and i