Update URL for MLIR in README.md.
As MLIR moved into LLVM, the old GitHub repository is no longer active.
PiperOrigin-RevId: 288802086
diff --git a/README.md b/README.md
index 5c41888..09e311b 100644
--- a/README.md
+++ b/README.md
@@ -54,9 +54,8 @@
IREE (**I**ntermediate **R**epresentation **E**xecution **E**nvironment,
pronounced as "eerie") is an experimental compiler backend for
-[MLIR](https://github.com/tensorflow/mlir) that lowers ML models to an IR that
-is optimized for real-time mobile/edge inference against heterogeneous hardware
-accelerators.
+[MLIR](https://mlir.llvm.org/) that lowers ML models to an IR that is optimized
+for real-time mobile/edge inference against heterogeneous hardware accelerators.
The IR produced contains the sequencing information required to communicate
pipelined data dependencies and parallelism to low-level hardware APIs like
@@ -210,9 +209,9 @@
The compiler has several layers that allow scaling the dependencies required
based on the source and target formats. In all cases
-[MLIR](https://github.com/tensorflow/mlir) is required and for models not
-originating from TensorFlow (or already in XLA HLO format) it is the only
-dependency. When targeting the IREE Runtime VM and HAL
+[MLIR](https://mlir.llvm.org/) is required and for models not originating from
+TensorFlow (or already in XLA HLO format) it is the only dependency. When
+targeting the IREE Runtime VM and HAL
[FlatBuffers](https://google.github.io/flatbuffers/) is required for
serialization. Converting from TensorFlow models requires a dependency on
TensorFlow (however only those parts required for conversion).
