Machine learning has advanced considerably in recent years, with systems achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in deploying them optimally in real-world applications. This is where machine learning inference becomes crucial, arising as a critical focus for researc

Machine learning has advanced considerably in recent years, with algorithms matching human capabilities 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 experts and te