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articles/ai-services/openai/how-to/deployment-types.md

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## Deploy models
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:::image type="content" source="../media/deployment-types/deploy-models-new" alt-text="Screenshot that shows the model deployment dialog in Azure OpenAI Studio with three deployment types highlighted." lightbox="../media/deployment-types/deploy-models-new.png":::
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:::image type="content" source="../media/deployment-types/deploy-models-new.png" alt-text="Screenshot that shows the model deployment dialog in Azure OpenAI Studio with three deployment types highlighted." lightbox="../media/deployment-types/deploy-models-new.png":::
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To learn about creating resources and deploying models refer to the [resource creation guide](./create-resource.md).
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articles/ai-services/openai/how-to/working-with-models.md

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Azure OpenAI now supports automatic updates for select model deployments. On models where automatic update support is available, a model version drop-down is visible in Azure OpenAI Studio under **Deployments** and **Edit**:
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:::image type="content" source="../media/models/auto-update.png" alt-text="Screenshot of the deploy model UI of Azure OpenAI Studio." lightbox="../media/models/auto-update.png":::
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:::image type="content" source="../media/models/auto-update-new.png" alt-text="Screenshot of the deploy model UI of Azure OpenAI Studio." lightbox="../media/models/auto-update-new.png":::
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You can learn more about Azure OpenAI model versions and how they work in the [Azure OpenAI model versions](../concepts/model-versions.md) article.
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For currently deployed models, from Azure OpenAI Studio select **Deployments**:
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:::image type="content" source="../media/models/deployments.png" alt-text="Screenshot of the deployment UI of Azure OpenAI Studio." lightbox="../media/models/deployments.png":::
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:::image type="content" source="../media/models/deployments-new.png" alt-text="Screenshot of the deployment UI of Azure OpenAI Studio." lightbox="../media/models/deployments-new.png":::
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## Model deployment upgrade configuration
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articles/ai-services/openai/includes/fine-tuning-studio.md

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After your custom model deploys, you can use it like any other deployed model. You can use the **Playgrounds** in [Azure OpenAI Studio](https://oai.azure.com) to experiment with your new deployment. You can continue to use the same parameters with your custom model, such as `temperature` and `max_tokens`, as you can with other deployed models. For fine-tuned `babbage-002` and `davinci-002` models you will use the Completions playground and the Completions API. For fine-tuned `gpt-35-turbo-0613` models you will use the Chat playground and the Chat completion API.
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:::image type="content" source="../media/quickstarts/playground-load.png" alt-text="Screenshot of the Playground pane in Azure OpenAI Studio, with sections highlighted." lightbox="../media/quickstarts/playground-load.png":::
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:::image type="content" source="../media/quickstarts/playground-load-new.png" alt-text="Screenshot of the Playground pane in Azure OpenAI Studio, with sections highlighted." lightbox="../media/quickstarts/playground-load-new.png":::
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## Analyze your custom model
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articles/ai-services/openai/includes/studio.md

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1. Select your deployment from the **Deployments** dropdown. If your resource doesn't have a deployment, select **Create a deployment** and then revisit this step.
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1. Enter a prompt for the model.
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:::image type="content" source="../media/quickstarts/summarize-text.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with a text summarization example." lightbox="../media/quickstarts/summarize-text.png":::
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:::image type="content" source="../media/quickstarts/summarize-text-new.png" alt-text="Screenshot of the playground page of the Azure OpenAI Studio with a text summarization example." lightbox="../media/quickstarts/summarize-text-new.png":::
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1. Select `Generate`. Azure OpenAI will attempt to capture the context of text and rephrase it succinctly. You should get a result that resembles the following text:
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