Smart Systems Reasoning: The Future Territory of Inclusive and Swift Predictive Model Execution
Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in creating these models, but in deploying them efficiently in real-world applications. This is where machine learning inference takes center stage, surfacing as a primary concern for