Updated pr.

Author: lu-ohai

docs/source/user_guide/_template/distributed_training_policies.rst

@@ -0,0 +1,7 @@
+.. admonition:: Distributed Training with OCI Data Science
+  :class: note
+
+  You need to configure your `networking <https://docs.oracle.com/en-us/iaas/Content/Network/Concepts/overview.htm>`_
+  and `IAM <https://docs.oracle.com/en-us/iaas/Content/Identity/Concepts/overview.htm>`_ policies.
+  We recommend running the training on a private subnet.
+  In this example, internet access is needed to download the source code and the pre-trained model.

docs/source/user_guide/large_language_model/training_llm.rst

@@ -7,13 +7,7 @@ Oracle Cloud Infrastructure (OCI) `Data Science Jobs (Jobs) <https://docs.oracle
 provides fully managed infrastructure to enable training large language model at scale.
 This page shows an example of fine-tuning the `Llama 2 <https://ai.meta.com/llama/>`_ model. For model details on the APIs, see :doc:`../jobs/run_pytorch_ddp`.
 
-.. admonition:: Distributed Training with OCI Data Science
-  :class: note
-
-  You need to configure your `networking <https://docs.oracle.com/en-us/iaas/Content/Network/Concepts/overview.htm>`_
-  and `IAM <https://docs.oracle.com/en-us/iaas/Content/Identity/Concepts/overview.htm>`_ policies.
-  We recommend running the training on a private subnet.
-  In this example, internet access is needed to download the source code and the pre-trained model.
+.. include:: ../_template/distributed_training_policies.rst
 
 The `llama-recipes <https://github.com/facebookresearch/llama-recipes>`_ repository contains example code to fine-tune llama2 model.
 The example `fine-tuning script <https://github.com/facebookresearch/llama-recipes/blob/1aecd00924738239f8d86f342b36bacad180d2b3/examples/finetuning.py>`_ supports both full parameter fine-tuning