Predicting through Automated Reasoning: A Transformative Period for Streamlined and Attainable Neural Network Frameworks
Artificial Intelligence has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in deploying them optimally in practical scenarios. This is where inference in AI becomes crucial, emerging as a critical focus for experts and inn