DECIDING THROUGH COMPUTATIONAL INTELLIGENCE: A TRANSFORMATIVE PERIOD IN OPTIMIZED AND AVAILABLE MACHINE LEARNING ALGORITHMS

Machine learning has advanced considerably in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty 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 scientis