Interpreting through Predictive Models: A Fresh Phase in Efficient and Universal Deep Learning Architectures
Machine learning has advanced considerably in recent years, with algorithms surpassing human abilities in diverse tasks. However, the true difficulty lies not just in training these models, but in deploying them optimally in everyday use cases. This is where AI inference takes center stage, arising as a critical focus for experts and industry profe