Clarify project description. (#5995)
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# IREE: Intermediate Representation Execution Environment
IREE (**I**ntermediate **R**epresentation **E**xecution **E**nvironment,
-pronounced as "eerie") is a [MLIR](https://mlir.llvm.org/)-based end-to-end
-compiler that lowers Machine Learning (ML) models to a unified IR optimized for
-real-time inference on mobile/edge devices against heterogeneous hardware
-accelerators. IREE also provides flexible deployment solutions for its compiled
-ML models.
+pronounced as "eerie") is an [MLIR](https://mlir.llvm.org/)-based end-to-end
+compiler and runtime that lowers Machine Learning (ML) models to a unified IR
+that scales up to meet the needs of the datacenter and down to satisfy the
+constraints and special considerations of mobile and edge deployments.
See [our website](https://google.github.io/iree/) for project details, user
guides, and instructions on building from source.
