MLIR (Multi-Level Intermediate Representation) is a flexible and extensible intermediate representation within the LLVM ecosystem designed to support multiple abstraction levels in compiler infrastructures. Unlike traditional IRs, which operate at a single level of abstraction (e.g., LLVM IR for low-level code), MLIR provides a structured framework for defining and transforming IRs at different levels, from high-level domain-specific representations to hardware-specific lower-level representations. It enables efficient transformations, optimizations, and code generation for diverse applications, including machine learning, high-performance computing, and domain-specific compilers. MLIR's modular design and extensible dialect system make it a powerful tool for building custom compiler pipelines that bridge the gap between high-level programming models and low-level hardware execution. MLIR Official Documentation: MLIR: Scaling Compiler Infrastructure for Domain-Specific Computation: LLVM Developer Meeting - MLIR Tutorials and Talks: