Reasoning using Smart Systems: A Transformative Cycle enabling Universal and Swift Predictive Model Systems
Artificial Intelligence has achieved significant progress in recent years, with systems matching human capabilities in numerous tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in practical scenarios. This is where machine learning inference becomes crucial, emerging as a primary concern for