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Update articles/ai-foundry/how-to/model-catalog-overview.md
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articles/ai-foundry/how-to/model-catalog-overview.md

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@@ -130,7 +130,7 @@ You can refer to [this notebook](https://github.com/Azure/azureml-examples/blob/
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You can deploy certain models in the model catalog with pay-per-token billing. This deployment method, also called *standard deployment*, provides a way to consume the models as APIs without hosting them on your subscription. Models are hosted in a Microsoft-managed infrastructure, which enables API-based access to the model provider's model. API-based access can dramatically reduce the cost of accessing a model and simplify the provisioning experience.
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Models that are available for deployment as standard deployments with Standard billing are offered by the model provider, but they're hosted in a Microsoft-managed Azure infrastructure and accessed via API. Model providers define the license terms and set the price for use of their models. The Azure Machine Learning service:
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Models that are available for deployment as pay-as-you-go deployments with Standard billing are offered by the model provider, but they're hosted in a Microsoft-managed Azure infrastructure and accessed via API. Model providers define the license terms and set the price for use of their models. The Azure Machine Learning service:
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* Manages the hosting infrastructure.
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* Makes the inference APIs available.

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