Predicting through Smart Systems: The Bleeding of Innovation driving Ubiquitous and Optimized Automated Reasoning Execution
Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in numerous tasks. However, the real challenge lies not just in developing these models, but in implementing them optimally in everyday use cases. This is where machine learning inference comes into play, arising as a key area for expe