v4.3 update. (#2709)

* v4.3 update.

* Update the cute_dsl_api changelog's doc link

* Update version to 4.3.0

* Update the example link

* Update doc to encourage user to install DSL from requirements.txt

---------

Co-authored-by: Larry Wu <larwu@nvidia.com>

media/docs/pythonDSL/cute_dsl_api/cute_arch.rst

@@ -1,17 +1,18 @@
 .. _cute_arch:
 
-cutlass.cute.arch
-=================
+arch
+====
 
-The ``cute.arch`` module contains wrappers around NVVM-level MLIR Op builders that seamlessly
-inter-operate with the Python types used in CUTLASS Python. Another benefit of wrapping these Op
-builders is that the source location can be tracked with the ``@dsl_user_op`` decorator. Available
-functions include
+The ``cute.arch`` module provides lightweight wrappers for NVVM Operation builders which implement CUDA built-in 
+device functions such as ``thread_idx``. It integrates seamlessly with CuTe DSL types.
 
-- basic API like ``thr_idx``;
-- functions related to the direct management of mbarriers;
-- low-level SMEM management (prefer using the ``SmemAllocator`` class);
-- TMEM management.
+These wrappers enable source location tracking through the ``@dsl_user_op``
+decorator. The module includes the following functionality:
+
+- Core CUDA built-in functions such as ``thread_idx``, ``warp_idx``, ``block_dim``, ``grid_dim``, ``cluster_dim``, and related functions
+- Memory barrier management functions including ``mbarrier_init``, ``mbarrier_arrive``, ``mbarrier_wait``, and associated operations  
+- Low-level shared memory (SMEM) management capabilities, with ``SmemAllocator`` as the recommended interface
+- Low-level tensor memory (TMEM) management capabilities, with ``TmemAllocator`` as the recommended interface
 
 API documentation
 -----------------