Executing with Smart Systems: A Revolutionary Period for Enhanced and User-Friendly Automated Reasoning Systems
Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in various tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for research