Executing with Neural Networks: A Revolutionary Period towards Rapid and Universal Automated Reasoning Infrastructures
Artificial Intelligence has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in developing these models, but in deploying them optimally in real-world applications. This is where machine learning inference becomes crucial, arising as a critical focu