Predicting through Predictive Models: The Cutting of Development driving Agile and Ubiquitous Machine Learning Frameworks
Machine learning has advanced considerably in recent years, with systems achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in deploying them effectively in real-world applications. This is where inference in AI takes center stage, surfacing as a critical focus for researchers a