SMART SYSTEMS INTERPRETATION: THE DAWNING FRONTIER TRANSFORMING REACHABLE AND STREAMLINED NEURAL NETWORK OPERATIONALIZATION

Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the real challenge lies not just in training these models, but in implementing them efficiently in real-world applications. This is where machine learning inference comes into play, arising as a critical focu

Artificial Intelligence has made remarkable strides in recent years, with algorithms achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in everyday use cases. This is where inference in AI becomes crucial, surfacing as a critical focus for research