Executing using Automated Reasoning: A Disruptive Wave driving Agile and Ubiquitous Machine Learning Algorithms
Machine learning has achieved significant progress in recent years, with models matching human capabilities in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in real-world applications. This is where machine learning inference becomes crucial, surfacing as a critical focus fo