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# Azure OpenAI Service models
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Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Model availability varies by region. For GPT-3 and other models retiring in July 2024, see [Azure OpenAI Service legacy models](./legacy-models.md).
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Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Model availability varies by region. For GPT-3 and other models retiring in July 2024, see [Azure OpenAI Service legacy models](./legacy-models.md).
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| Models | Description |
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|--|--|
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|[GPT-4 Turbo 🆕](#gpt-4-turbo)| The latest most capable Azure OpenAI models with multimodal versions which can accept both text and images as input. |
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|[GPT-4 Turbo **NEW**](#gpt-4-turbo)| The latest most capable Azure OpenAI models with multimodal versions, which can accept both text and images as input. |
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|[GPT-4](#gpt-4)| A set of models that improve on GPT-3.5 and can understand and generate natural language and code. |
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|[GPT-3.5](#gpt-35)| A set of models that improve on GPT-3 and can understand and generate natural language and code. |
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|[Embeddings](#embeddings-models)| A set of models that can convert text into numerical vector form to facilitate text similarity. |
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See [model versions](../concepts/model-versions.md) to learn about how Azure OpenAI Service handles model version upgrades, and [working with models](../how-to/working-with-models.md) to learn how to view and configure the model version settings of your GPT-4 deployments.
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| Model ID | Max Request (tokens) | Training Data (up to) |
|`gpt-4` (turbo-2024-04-09) 🆕 <br>**GPT-4 Turbo with Vision GA**| Input: 128,000 <br> Output: 4,096 | Dec 2023 |
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**<sup>1</sup>** GPT-4 Turbo Preview = `gpt-4` (0125-Preview) or `gpt-4` (1106-Preview). To deploy this model, under **Deployments** select model **gpt-4**. Under version select (0125-Preview) or (1106-Preview).
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**<sup>2</sup>** GPT-4 Turbo with Vision Preview = `gpt-4` (vision-preview). To deploy this model, under **Deployments** select model **gpt-4**. For **Model version** select **vision-preview**.
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| Model ID | Description | Max Request (tokens) | Training Data (up to) |
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| --- | :--- |:--- |:---: |
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|`gpt-4` (turbo-2024-04-09) <br>**GPT-4 Turbo with Vision**|**Latest GA model** <br> - Replacement for all GPT-4 preview models (`vision-preview`, `1106-Preview`, `0125-Preview`). <br> - [**Feature availability**](#gpt-4-turbo) is currently different depending on method of input, and deployment type. <br> - Does **not support** enhancements. | Input: 128,000 <br> Output: 4,096 | Dec 2023 |
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|`gpt-4` (0125-Preview)*<br>**GPT-4 Turbo Preview**|**Preview Model** <br> -Replaces 1106-Preview <br>- Better code generation performance <br> - Reduces cases where the model doesn't complete a task <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000 <br> Output: 4,096 | Dec 2023 |
|`gpt-4-32k` (0613) |**Older GA model** <br> - Basic function calling with tools | 32,768 | Sep 2021 |
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|`gpt-4` (0613) |**Older GA model** <br> - Basic function calling with tools | 8,192 | Sep 2021 |
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|`gpt-4-32k`(0314) |**Older GA model** <br> - Deprecated function calling | 32,768 | Sep 2021 |
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|`gpt-4` (0314) |**Older GA model** <br> - Deprecated function calling | 8,192 | Sep 2021 |
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> [!CAUTION]
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> We don't recommend using preview models in production. We will upgrade all deployments of preview models to future preview versions and a stable version. Models designated preview do not follow the standard Azure OpenAI model lifecycle.
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> We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable/GA version. Models designated preview do not follow the standard Azure OpenAI model lifecycle.
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> [!NOTE]
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> Version `0314` of `gpt-4` and `gpt-4-32k` will be retired no earlier than July 5, 2024. Version `0613` of `gpt-4` and `gpt-4-32k` will be retired no earlier than September 30, 2024. See [model updates](../how-to/working-with-models.md#model-updates) for model upgrade behavior.
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- GPT-4 version 0125-preview is an updated version of the GPT-4 Turbo preview previously released as version 1106-preview.
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- GPT-4 version 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview. Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview. We recommend customers compare the outputs of the new model. GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages. GPT-4 version `turbo-2024-04-09` is the latest GA release and replaces `0125-Preview`, `1106-preview`, and `vision-preview`.
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- GPT-4 version 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview. Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview. We recommend customers compare the outputs of the new model. GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages. GPT-4 version `turbo-2024-04-09` is the latest GA release and replaces `0125-Preview`, `1106-preview`, and `vision-preview`.
Copy file name to clipboardExpand all lines: articles/ai-services/openai/concepts/use-your-data.md
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## Schedule automatic index refreshes
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> [!NOTE]
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> * Automatic index refreshing is supported for Azure Blob Storage only.
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> * If a document is deleted from input blob container, the corresponding chunk index records won't be removed by the scheduled refresh.
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> Automatic index refreshing is supported for Azure Blob Storage only.
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To keep your Azure AI Search index up-to-date with your latest data, you can schedule an automatic index refresh rather than manually updating it every time your data is updated. Automatic index refresh is only available when you choose **Azure Blob Storage** as the data source. To enable an automatic index refresh:
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We use LoRA, or low rank approximation, to fine-tune models in a way that reduces their complexity without significantly affecting their performance. This method works by approximating the original high-rank matrix with a lower rank one, thus only fine-tuning a smaller subset of "important" parameters during the supervised training phase, making the model more manageable and efficient. For users, this makes training faster and more affordable than other techniques.
[!INCLUDE [Azure OpenAI Studio fine-tuning](../includes/fine-tuning-studio.md)]
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::: zone-end
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::: zone pivot="programming-language-ai-studio"
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[!INCLUDE [AI Studio fine-tuning](../includes/fine-tuning-openai-in-ai-studio.md)]
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::: zone-end
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-**Bad data:** A poorly curated or unrepresentative dataset will produce a low-quality model. Your model may learn inaccurate or biased patterns from your dataset. For example, if you are training a chatbot for customer service, but only provide training data for one scenario (e.g. item returns) it will not know how to respond to other scenarios. Or, if your training data is bad (contains incorrect responses), your model will learn to provide incorrect results.
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## Next steps
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- Explore the fine-tuning capabilities in the [Azure OpenAI fine-tuning tutorial](../tutorials/fine-tune.md).
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