MACHINE LEARNING COMPUTATION: THE ZENITH OF INNOVATION TRANSFORMING OPTIMIZED AND AVAILABLE MACHINE LEARNING ARCHITECTURES

Machine learning has advanced considerably in recent years, with models matching human capabilities in numerous tasks. However, the main hurdle lies not just in creating these models, but in implementing them effectively in practical scenarios. This is where machine learning inference becomes crucial, arising as a critical focus for experts and inn