PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: A TRANSFORMATIVE PERIOD OF ENHANCED AND ATTAINABLE NEURAL NETWORK FRAMEWORKS

Artificial Intelligence has made remarkable strides in recent years, with algorithms matching human capabilities in various tasks. However, the main hurdle lies not just in training these models, but in deploying them effectively in everyday use cases. This is where inference in AI comes into play, arising as a primary concern for scientists and in