junrushao commented on code in PR #170:
URL: https://github.com/apache/tvm-ffi/pull/170#discussion_r2442698025


##########
docs/get_started/quickstart.rst:
##########
@@ -18,14 +18,18 @@
 Quick Start
 ===========
 
+.. note::
+
+  All the code in this tutorial can be found under `examples/quickstart 
<https://github.com/apache/tvm-ffi/tree/main/examples/quickstart>`_ in the 
repository.
+
 This guide walks through shipping a minimal ``add_one`` function that computes
 ``y = x + 1`` in C++ and CUDA.
 TVM-FFI's Open ABI and FFI make it possible to **ship one library** for 
multiple frameworks and languages.
 We can build a single shared library that works across:
 
 - **ML frameworks**, e.g. PyTorch, JAX, NumPy, CuPy, etc., and
-- **languages**, e.g. C++, Python, Rust, etc.
-- **Python ABI versions**, e.g. ship one wheel to support multiple Python 
versions, including free-threaded Python.
+- **Languages**, e.g. C++, Python, Rust, etc.
+- **Python ABI versions**, e.g. ship one wheel to support all Python versions.

Review Comment:
   i think i did:
   
   ```
   - **Python ABI versions**, e.g. ship one wheel to support all Python 
versions, including free-threaded ones.
   ```



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