Executing through Automated Reasoning: The Bleeding of Evolution powering Swift and Widespread Predictive Model Models
AI has made remarkable strides in recent years, with algorithms matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in everyday use cases. This is where inference in AI takes center stage, emerging as a key area for researchers and tech leaders alike