EXECUTING WITH NEURAL NETWORKS: A GROUNDBREAKING STAGE ENABLING UNIVERSAL AND AGILE AI MODELS

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 developing these models, but in implementing them optimally in real-world applications. This is where AI inference comes into play, emerging as a critical focus for research