DECIDING THROUGH MACHINE LEARNING: THE APEX OF TRANSFORMATION ACCELERATING USER-FRIENDLY AND AGILE NEURAL NETWORK IMPLEMENTATION

Machine learning has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference comes into play, surfacing as a critical focus f