Computing with Smart Systems: The Cutting of Advancement enabling Swift and Widespread AI Models
Machine learning has made remarkable strides in recent years, with algorithms surpassing human abilities in various tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in practical scenarios. This is where machine learning inference comes into play, arising as a primary concern for researchers