Artificial Intelligence Execution: The Bleeding of Evolution revolutionizing Resource-Conscious and Accessible Neural Network Integration
Artificial Intelligence has made remarkable strides in recent years, with systems surpassing human abilities in numerous tasks. However, the true difficulty lies not just in training these models, but in deploying them optimally in everyday use cases. This is where machine learning inference becomes crucial, arising as a critical focus for experts