PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: A TRANSFORMATIVE PERIOD FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK FRAMEWORKS

Artificial Intelligence has made remarkable strides in recent years, with systems achieving human-level performance in numerous tasks. However, the true difficulty lies not just in creating these models, but in deploying them efficiently in everyday use cases. This is where AI inference becomes crucial, arising as a primary concern for experts and