Reading AI Model Compilation in MLIR Through the Lens of Formal Theories

This paper discusses the compilation of AI models using MLIR (Multi-Level Intermediate Representation) and examines it through the perspective of formal theories. The authors aim to bridge the gap between AI model design and compiler technology, providing insights into how formal methods can enhance the reliability and performance of AI systems. For more details, you can read the full paper here.