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@@ -189,7 +189,7 @@ Follow these steps to create a new console application.
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}
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}
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}
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```
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```
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1. To increase or decrease the number of tokens returned by Azure OpenAI, change the `MaxTokens` property in the `CompletionsOptions` class instance. For more information tokens and cost implications, see [Azure OpenAI tokens](/azure/ai-services/openai/overview#tokens) and [Azure OpenAI pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
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@@ -224,7 +224,7 @@ Now that you've completed the quickstart, here are some more considerations:
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- To change the speech recognition language, replace `en-US` with another [supported language](~/articles/ai-services/speech-service/language-support.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/ai-services/speech-service/language-identification.md).
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- To change the voice that you hear, replace `en-US-JennyMultilingualNeural` with another [supported voice](~/articles/ai-services/speech-service/language-support.md#prebuilt-neural-voices). If the voice doesn't speak the language of the text returned from Azure OpenAI, the Speech service doesn't output synthesized audio.
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- To use a different [model](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability), replace `text-davinci-003` with the ID of another [deployment](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#deploy-a-model). Keep in mind that the deployment ID isn't necessarily the same as the model name. You named your deployment when you created it in [Azure OpenAI Studio](https://oai.azure.com/).
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- To use a different [model](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability), replace `gpt-35-turbo-instruct` with the ID of another [deployment](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#deploy-a-model). Keep in mind that the deployment ID isn't necessarily the same as the model name. You named your deployment when you created it in [Azure OpenAI Studio](https://oai.azure.com/).
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- Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses may be filtered if harmful content is detected. For more information, see the [content filtering](/azure/ai-services/openai/concepts/content-filter) article.
@@ -132,7 +132,7 @@ Follow these steps to create a new console application.
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chat_with_open_ai()
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except Exception as err:
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print("Encountered exception. {}".format(err))
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```
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```
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1. To increase or decrease the number of tokens returned by Azure OpenAI, change the `max_tokens` parameter. For more information tokens and cost implications, see [Azure OpenAI tokens](/azure/ai-services/openai/overview#tokens) and [Azure OpenAI pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
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@@ -167,7 +167,7 @@ Now that you've completed the quickstart, here are some more considerations:
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- To change the speech recognition language, replace `en-US` with another [supported language](~/articles/ai-services/speech-service/language-support.md). For example, `es-ES` for Spanish (Spain). The default language is `en-US` if you don't specify a language. For details about how to identify one of multiple languages that might be spoken, see [language identification](~/articles/ai-services/speech-service/language-identification.md).
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- To change the voice that you hear, replace `en-US-JennyMultilingualNeural` with another [supported voice](~/articles/ai-services/speech-service/language-support.md#prebuilt-neural-voices). If the voice doesn't speak the language of the text returned from Azure OpenAI, the Speech service doesn't output synthesized audio.
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- To use a different [model](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability), replace `text-davinci-003` with the ID of another [deployment](/azure/ai-services/openai/how-to/create-resource#deploy-a-model). Keep in mind that the deployment ID isn't necessarily the same as the model name. You named your deployment when you created it in [Azure OpenAI Studio](https://oai.azure.com/).
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- To use a different [model](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability), replace `gpt-35-turbo-instruct` with the ID of another [deployment](/azure/ai-services/openai/how-to/create-resource#deploy-a-model). Keep in mind that the deployment ID isn't necessarily the same as the model name. You named your deployment when you created it in [Azure OpenAI Studio](https://oai.azure.com/).
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- Azure OpenAI also performs content moderation on the prompt inputs and generated outputs. The prompts or responses may be filtered if harmful content is detected. For more information, see the [content filtering](/azure/ai-services/openai/concepts/content-filter) article.
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title: "Azure OpenAI speech to speech chat - Speech service"
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titleSuffix: Azure AI services
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description: In this how-to guide, you can use Speech to converse with Azure OpenAI. The text recognized by the Speech service is sent to Azure OpenAI. The text response from Azure OpenAI is then synthesized by the Speech service.
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@@ -4,7 +4,7 @@ description: This article explains the steps to cleanly remove your VMware vCent
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author: snehithm
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ms.author: snmuvva
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ms.topic: how-to
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ms.date: 11/06/2023
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ms.date: 11/30/2023
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ms.service: azure-arc
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ms.subservice: azure-arc-vmware-vsphere
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ms.custom: devx-track-azurecli
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### Remove VMware vSphere resources from Azure Arc using deboarding script
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Use the deboarding script to do a full cleanup of all the Arc-enabled VMware resources. The script removes all the Azure resources, including vCenter, custom location, virtual machines, virtual templates, hosts, clusters, resource pools, datastores, virtual networks, Azure Resource Manager (ARM) resource of Appliance, and the appliance VM running on vCenter.
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Download the [deboarding script](https://aka.ms/arcvmwaredeboard) to do a full cleanup of all the Arc-enabled VMware resources. The script removes all the Azure resources, including vCenter, custom location, virtual machines, virtual templates, hosts, clusters, resource pools, datastores, virtual networks, Azure Resource Manager (ARM) resource of Appliance, and the appliance VM running on vCenter.
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