Reasoning using Automated Reasoning: A Disruptive Wave powering Swift and Widespread AI Models
Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where machine learning inference takes center stage, arising as a key area for researchers