diff --git a/intermediate_source/transformer_building_blocks.py b/intermediate_source/transformer_building_blocks.py
index 36b2019f19..67860b85b7 100644
--- a/intermediate_source/transformer_building_blocks.py
+++ b/intermediate_source/transformer_building_blocks.py
@@ -1,4 +1,7 @@
 """
+.. meta::
+  :description: Learn how to optimize transformer models by replacing nn.Transformer with Nested Tensors and torch.compile() for significant performance gains in PyTorch.
+
 Accelerating PyTorch Transformers by replacing ``nn.Transformer`` with Nested Tensors and ``torch.compile()``
 =============================================================================================================
 **Author:** `Mikayla Gawarecki <https://github.com/mikaylagawarecki>`_
diff --git a/prototype_source/nestedtensor.py b/prototype_source/nestedtensor.py
index ecf099c1e0..6578cf7345 100644
--- a/prototype_source/nestedtensor.py
+++ b/prototype_source/nestedtensor.py
@@ -369,3 +369,8 @@ def benchmark(func, *args, **kwargs):
 # how implement multi-head attention for transformers in a way that avoids computation on padding.
 # For more information, check out the docs for the
 # `torch.nested <https://pytorch.org/docs/stable/nested.html>`__ namespace.
+#
+# See Also
+# --------
+#
+# * `Accelerating PyTorch Transformers by replacing nn.Transformer with Nested Tensors and torch.compile() <https://docs.pytorch.org/tutorials/intermediate/transformer_building_blocks.html`__