Predicting using Automated Reasoning: A Transformative Period in Optimized and Available Machine Learning Algorithms
Artificial Intelligence has achieved significant progress in recent years, with models 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 primary concern for rese