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.openpublishing.redirection.json

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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/ddos-protection/ddos-disaster-recovery-guidance.md",
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"redirect_url": "../reliability/reliability-ddos.md",
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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/azure-functions/functions-monitor-log-analytics.md",
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"redirect_url": "/azure/azure-functions/monitor-functions",
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"redirect_document_id": false

articles/ai-services/language-service/key-phrase-extraction/includes/quickstarts/python-sdk.md

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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
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* [Python 3.7 or later](https://www.python.org/)
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* [Python 3.8 or later](https://www.python.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics" title="Create a Language resource" target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.

articles/ai-services/language-service/language-detection/includes/quickstarts/python-sdk.md

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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
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* [Python 3.7 or later](https://www.python.org/)
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* [Python 3.8 or later](https://www.python.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics" title="Create a Language resource" target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.

articles/ai-services/language-service/named-entity-recognition/includes/quickstarts/python-sdk.md

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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
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* [Python 3.7 or later](https://www.python.org/)
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* [Python 3.8 or later](https://www.python.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics" title="Create a Language resource" target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.

articles/ai-services/language-service/personally-identifiable-information/includes/quickstarts/python-sdk.md

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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
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* [Python 3.7 or later](https://www.python.org/)
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* [Python 3.8 or later](https://www.python.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics" title="Create a Language resource" target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You'll need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.

articles/ai-services/language-service/text-analytics-for-health/includes/quickstarts/python-sdk.md

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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
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* [Python 3.7 or later](https://www.python.org/)
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* [Python 3.8 or later](https://www.python.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics" title="Create a Language resource" target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
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* You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You can use the free pricing tier (`Free F0`) to try the service (providing 5000 text records - 1000 characters each) and upgrade later to the `Standard S` pricing tier for production. You can also start with the `Standard S` pricing tier, receiving the same initial quota for free (5000 text records) before getting charged. For more information on pricing, visit [Language Service Pricing](https://azure.microsoft.com/pricing/details/cognitive-services/language-service/).

articles/ai-services/openai/concepts/model-retirements.md

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| ---- | ---- | ---- |
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| `gpt-35-turbo` | 0301 | No earlier than June 13, 2024 |
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| `gpt-35-turbo`<br>`gpt-35-turbo-16k` | 0613 | No earlier than July 13, 2024 |
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| `gpt-35-turbo` | 1106 | No earlier than Nov 17, 2025 |
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| `gpt-35-turbo` | 1106 | No earlier than Nov 17, 2024 |
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| `gpt-35-turbo` | 0125 | No earlier than Feb 22, 2025 |
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| `gpt-4`<br>`gpt-4-32k` | 0314 | No earlier than July 13, 2024 |
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| `gpt-4`<br>`gpt-4-32k` | 0613 | No earlier than Sep 30, 2024 |

articles/ai-services/openai/concepts/models.md

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description: Learn about the different model capabilities that are available with Azure OpenAI.
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 03/12/2024
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ms.date: 03/14/2024
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ms.custom: references_regions, build-2023, build-2023-dataai, refefences_regions
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manager: nitinme
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author: mrbullwinkle #ChrisHMSFT
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For Assistants you need a combination of a supported model, and a supported region. Certain tools and capabilities require the latest models. For example [parallel function](../how-to/assistant-functions.md) calling requires the latest 1106 models.
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| Region | `gpt-35-turbo (0613)` | `gpt-35-turbo (1106)` | `gpt-4 (0613)` | `gpt-4 (1106)` | `gpt-4 (0125)` |
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|-----|---|---|---|---|---|
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| Australia East ||||| |
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| East US 2 || ||| |
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| Sweden Central ||||| |
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| Region | `gpt-35-turbo (0613)` | `gpt-35-turbo (1106)` | `gpt-4 (0613)` | `gpt-4 (1106)` |
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|-----|---|---|---|---|
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| Australia East |||||
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| East US 2 |||||
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| Sweden Central |||||
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Provisioned Throughput Unit (PTU) availability
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| Region | `gpt-35-turbo (1106)` | `gpt-4 (1106)` | `gpt-4 (0125)` |
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|-----|---|---|---|
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| Sweden Central ||||
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## Next steps
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articles/ai-services/openai/concepts/provisioned-throughput.md

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### Provisioned throughput units
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Provisioned throughput units (PTU) are units of model processing capacity that customers you can reserve and deploy for processing prompts and generating completions. The minimum PTU deployment, increments, and processing capacity associated with each unit varies by model type & version.
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Provisioned throughput units (PTU) are units of model processing capacity that you can reserve and deploy for processing prompts and generating completions. The minimum PTU deployment, increments, and processing capacity associated with each unit varies by model type & version.
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articles/ai-services/openai/concepts/use-your-data.md

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When you chat with a model, providing a history of the chat will help the model return higher quality results. You don't need to include the `context` property of the assistant messages in your API requests for better response quality. See [the API reference documentation](../references/on-your-data.md#examples) for examples.
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```json
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{
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"dataSources": [
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{
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"type": "AzureCognitiveSearch",
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"parameters": {
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"endpoint": "'$AZURE_AI_SEARCH_ENDPOINT'",
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"key": "'$AZURE_AI_SEARCH_API_KEY'",
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"indexName": "'$AZURE_AI_SEARCH_INDEX'"
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}
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}
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],
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"messages": [
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{
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"role": "user",
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"content": "What are the differences between Azure Machine Learning and Azure AI services?"
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},
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{
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"role": "tool",
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"content": "{\"citations\": [{\"content\": \"title: Azure AI services and Machine Learning\\ntitleSuffix: Azure AI services\\ndescription: Learn where Azure AI services fits in with other Azure offerings for machine learning.\\nAzure AI services and machine learning\\nAzure AI services provides machine learning capabilities to solve general problems such as...\\n \"articles\\\\cognitive-services\\\\cognitive-services-and-machine-learning.md\", \"url\": null, \"metadata\": {\"chunking\": \"orignal document size=1018. Scores=0.32200050354003906 and 1.2880020141601562.Org Highlight count=115.\"}, \"chunk_id\": \"0\"}], \"intent\": \"[\\\"What are the differences between Azure Machine Learning and Azure AI services?\\\"]\"}"
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},
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{
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"role": "assistant",
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"content": " \nAzure Machine Learning is a product and service tailored for data scientists to build, train, and deploy machine learning models [doc1]..."
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},
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{
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"role": "user",
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"content": "How do I use Azure machine learning?"
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}
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]
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}
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```
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## Token usage estimation for Azure OpenAI On Your Data
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