Update langchain.ipynb (#3467)

updating to cover for Llama 3 family of models

sdk/python/foundation-models/meta-llama3/langchain.ipynb

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Use LangChain with Meta Llama 3 in Azure AI and Azure ML\n",
+    "# Use LangChain with Meta Llama 3 family of models in Azure AI and Azure ML\n",
     "\n",
-    "You can use Meta-Llama-3 models deployed in Azure AI and Azure ML with `langchain` to create more sophisticated intelligent applications. Use `langchain_community` package with the Azure Machine Learning integration."
+    "You can use Meta-Llama-3 models family of models deployed in Azure AI and Azure ML with `langchain` to create more sophisticated intelligent applications. Use `langchain_community` package with the Azure Machine Learning integration."
    ]
   },
   {
@@ -20,7 +20,7 @@
     "* 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 one of 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",