fix: typo tweaks

README.md

@@ -9,6 +9,7 @@ pinned: false
 
 # Kernel Community
 The Kernel Hub allows Python libraries and applications to **load optimized compute kernels directly from the Hugging Face Hub**. Think of it like the Model Hub, but for low-level, high-performance code snippets (kernels) that accelerate specific operations, often on GPUs. 
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 Instead of manually managing complex dependencies, wrestling with compilation flags, or building libraries like Triton or CUTLASS from source, you can use the `kernels` library to instantly fetch and run pre-compiled, optimized kernels.
 
 ## Projects
@@ -36,8 +37,8 @@ The kernel hub team maintains two projects to make interacting with the kernel h
 </div>
 
 ## What are Compliant Kernels?
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 Kernels on the Hub are designed to be:
 - **Portable**: Load from paths outside `PYTHONPATH`
 - **Unique**: Multiple versions can run in the same process
 - **Compatible**: Support various Python versions, PyTorch builds, and C++ ABIs
-The Hub hosts both compliant and non-compliant kernels, but compliant ones (built with kernel-builder) offer support on a wide range of hardware.