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