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Update langchain.ipynb #3467

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Dec 13, 2024
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Update langchain.ipynb #3467

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6 changes: 3 additions & 3 deletions sdk/python/foundation-models/meta-llama3/langchain.ipynb
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Expand Up @@ -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."
]
},
{
Expand All @@ -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",
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