diff --git a/sdk/python/foundation-models/meta-llama3/openaisdk.ipynb b/sdk/python/foundation-models/meta-llama3/openaisdk.ipynb
index bdcb8607e8..8fe02dc689 100644
--- a/sdk/python/foundation-models/meta-llama3/openaisdk.ipynb
+++ b/sdk/python/foundation-models/meta-llama3/openaisdk.ipynb
@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Use OpenAI SDK with Meta Llama 3 in Azure AI and Azure ML\n",
+    "# Use OpenAI SDK with Meta Llama 3 family of models in Azure AI and Azure ML\n",
     "\n",
-    "Use `openai` SDK to consume Meta-llama-3 deployments in Azure AI and Azure ML. The Meta Llama 3 family of models in Azure AI and Azure ML offers an API compatible with the OpenAI Chat Completion API. It allows customers and users to transition seamlessly from OpenAI models to Mistral LLMs. \n",
+    "Use `openai` SDK to consume Meta-llama-3 family of models deployments in Azure AI and Azure ML. The Meta Llama 3 family of models in Azure AI and Azure ML offers an API compatible with the OpenAI Chat Completion API. It allows customers and users to transition seamlessly from OpenAI models to Mistral LLMs. \n",
     "\n",
     "The API can be directly used with OpenAI's client libraries or third-party tools, like LangChain or LlamaIndex.\n",
     "\n",
@@ -24,7 +24,7 @@
     "* Register for a valid Azure account with subscription \n",
     "* Make sure you have access to [Azure AI Studio](https://learn.microsoft.com/en-us/azure/ai-studio/what-is-ai-studio?tabs=home)\n",
     "* Create a project and resource group\n",
-    "* Select Meta Llama 3 models from Model catalog. This example assumes you are deploying `Meta-Llama-3-70B-Instruct`.\n",
+    "* Select Meta Llama 3 family of models  from Model catalog. This example assumes you are deploying `Meta-Llama-3-70B-Instruct`.\n",
     "\n",
     "    > Notice that some models may not be available in all the regions in Azure AI and Azure Machine Learning. On those cases, you can create a workspace or project in the region where the models are available and then consume it with a connection from a different one. To learn more about using connections see [Consume models with connections](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/deployments-connections)\n",
     "\n",