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**<sup>1</sup>** GPT-4 Turbo Preview = `gpt-4` (1106-preview). To deploy this model, under **Deployments** select model **gpt-4**. For **Model version** select **1106-preview**.
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@@ -128,13 +128,13 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
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| Model ID | Model Availability | Max Request (tokens) | Training Data (up to) |
|`gpt-35-turbo`**<sup>1</sup>** (0301) | East US <br> France Central <br> South Central US <br> UK South <br> West Europe |4096| Sep 2021 |
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|`gpt-35-turbo` (0613) | Australia East <br> Canada East <br> East US <br> East US 2 <br> France Central <br> Japan East <br> North Central US <br> Sweden Central <br> Switzerland North <br> UK South |4096| Sep 2021 |
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|`gpt-35-turbo`**<sup>1</sup>** (0301) | East US <br> France Central <br> South Central US <br> UK South <br> West Europe |4,096| Sep 2021 |
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|`gpt-35-turbo` (0613) | Australia East <br> Canada East <br> East US <br> East US 2 <br> France Central <br> Japan East <br> North Central US <br> Sweden Central <br> Switzerland North <br> UK South |4,096| Sep 2021 |
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|`gpt-35-turbo-16k` (0613) | Australia East <br> Canada East <br> East US <br> East US 2 <br> France Central <br> Japan East <br> North Central US <br> Sweden Central <br> Switzerland North<br> UK South | 16,384 | Sep 2021 |
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|`gpt-35-turbo-instruct` (0914) | East US <br> Sweden Central |4097|Sep 2021 |
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|`gpt-35-turbo-instruct` (0914) | East US <br> Sweden Central |4,097|Sep 2021 |
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|`gpt-35-turbo` (1106) | Australia East <br> Canada East <br> France Central <br> South India <br> Sweden Central<br> UK South <br> West US | Input: 16,385<br> Output: 4,096 | Sep 2021|
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**<sup>1</sup>** This model will accept requests > 4096 tokens. It is not recommended to exceed the 4096 input token limit as the newer version of the model are capped at 4096 tokens. If you encounter issues when exceeding 4096 input tokens with this model this configuration is not officially supported.
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**<sup>1</sup>** This model will accept requests > 4,096 tokens. It is not recommended to exceed the 4,096 input token limit as the newer version of the model are capped at 4,096 tokens. If you encounter issues when exceeding 4,096 input tokens with this model this configuration is not officially supported.
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### Embeddings models
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| Model ID | Model Availability | Max Request (tokens) | Training Data (up to) | Output Dimensions |
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|---|---| :---:|:---:|:---:|
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|`text-embedding-ada-002` (version 2) | Australia East <br> Canada East <br> East US <br> East US2 <br> France Central <br> Japan East <br> North Central US <br> South Central US <br> Sweden Central <br> Switzerland North <br> UK South <br> West Europe |8,191 | Sep 2021 |1536|
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|`text-embedding-ada-002` (version 1) | East US <br> South Central US <br> West Europe |2,046 | Sep 2021 |1536|
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|`text-embedding-ada-002` (version 2) | Australia East <br> Canada East <br> East US <br> East US2 <br> France Central <br> Japan East <br> North Central US <br> South Central US <br> Sweden Central <br> Switzerland North <br> UK South <br> West Europe |8,191 | Sep 2021 |1,536|
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|`text-embedding-ada-002` (version 1) | East US <br> South Central US <br> West Europe |2,046 | Sep 2021 |1,536|
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### DALL-E models (Preview)
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| Model ID | Feature Availability | Max Request (characters) |
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| --- | --- | :---: |
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| dalle2 | East US |1000|
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| dalle3 | Sweden Central |4000|
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| dalle2 | East US |1,000|
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| dalle3 | Sweden Central |4,000|
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### Fine-tuning models
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@@ -165,7 +165,7 @@ These models can only be used with Embedding API requests.
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| --- | --- | :---: | :---: |
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|`babbage-002`| North Central US <br> Sweden Central | 16,384 | Sep 2021 |
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|`davinci-002`| North Central US <br> Sweden Central | 16,384 | Sep 2021 |
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|`gpt-35-turbo` (0613) | North Central US <br> Sweden Central |4096| Sep 2021 |
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|`gpt-35-turbo` (0613) | North Central US <br> Sweden Central |4,096| Sep 2021 |
deployment_name='REPLACE_WITH_YOUR_DEPLOYMENT_NAME'#This will correspond to the custom name you chose for your deployment when you deployed a model.
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deployment_name='REPLACE_WITH_YOUR_DEPLOYMENT_NAME'#This will correspond to the custom name you chose for your deployment when you deployed a model. Use a gpt-35-turbo-instruct deployment.
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# Send a completion call to generate an answer
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print('Sending a test completion job')
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start_phrase ='Write a tagline for an ice cream shop. '
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