NEURAL NETWORKS INTERPRETATION: THE APPROACHING LANDSCAPE IN ATTAINABLE AND STREAMLINED NEURAL NETWORK PLATFORMS

Artificial Intelligence has made remarkable strides in recent years, with systems matching human capabilities in numerous tasks. However, the main hurdle lies not just in creating these models, but in deploying them efficiently in practical scenarios. This is where AI inference comes into play, emerging as a primary concern for experts and innovato