NEURAL NETWORKS INTERPRETATION: THE FOREFRONT OF GROWTH IN STREAMLINED AND REACHABLE NEURAL NETWORK INTEGRATION

AI has made remarkable strides in recent years, with models surpassing human abilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in deploying them optimally in real-world applications. This is where machine learning inference becomes crucial, emerging as a primary concern for scientists and tech l