INFERENCING USING NEURAL NETWORKS: A CUTTING-EDGE EPOCH TOWARDS RAPID AND UNIVERSAL COMPUTATIONAL INTELLIGENCE FRAMEWORKS

Machine learning has advanced considerably in recent years, with systems matching human capabilities in numerous tasks. However, the real challenge lies not just in training these models, but in deploying them efficiently in everyday use cases. This is where inference in AI becomes crucial, arising as a critical focus for researchers and industry p