Executing with Neural Networks: A Innovative Chapter accelerating Resource-Conscious and Accessible Deep Learning Algorithms

Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in everyday use cases. This is where machine learning inference takes center stage, emerging as a primary concern for

read more