AI has made remarkable strides in recent years, with algorithms achieving human-level performance in various tasks. However, the main hurdle lies not just in creating these models, but in deploying them efficiently in everyday use cases. This is where inference in AI becomes crucial, arising as a primary concern for experts and innovators alike.Def
Neural Networks Execution: The Imminent Paradigm of User-Friendly and High-Performance Intelligent Algorithm Realization
AI has made remarkable strides in recent years, with systems matching human capabilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where AI inference comes into play, arising as a critical focus for scientists and tech leaders alike.W