INTERPRETING WITH ARTIFICIAL INTELLIGENCE: A INNOVATIVE CYCLE ENABLING RESOURCE-CONSCIOUS AND ATTAINABLE COGNITIVE COMPUTING MODELS

Machine learning has made remarkable strides in recent years, with systems surpassing human abilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in deploying them efficiently in real-world applications. This is where AI inference takes center stage, arising as a critical focus for experts and tech