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[Azure OpenAI] Mini FT
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articles/ai-services/openai/concepts/models.md

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| `gpt-35-turbo` (1106) | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | Input: 16,385<br> Output: 4,096 | Sep 2021|
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| `gpt-35-turbo` (0125) | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | 16,385 | Sep 2021 |
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| `gpt-4` (0613) <sup>**1**</sup> | North Central US <br> Sweden Central | 8192 | Sep 2021 |
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| `gpt-4o-mini` <sup>**1**</sup> (2024-07-18) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384 <br> Training example context length: 64,536 | Oct 2023 |
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**<sup>1</sup>** GPT-4 fine-tuning is currently in public preview. See our [GPT-4 fine-tuning safety evaluation guidance](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-python#safety-evaluation-gpt-4-fine-tuning---public-preview) for more information.
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**<sup>1</sup>** GPT-4 and GPT-4o mini fine-tuning is currently in public preview. See our [GPT-4 & GPT-4o mini fine-tuning safety evaluation guidance](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-python#safety-evaluation-gpt-4-fine-tuning---public-preview) for more information.
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### Whisper models
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articles/ai-services/openai/how-to/fine-tuning.md

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ms.service: azure-ai-openai
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ms.custom: build-2023, build-2023-dataai, devx-track-python
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ms.topic: how-to
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ms.date: 07/25/2024
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ms.date: 08/02/2024
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zone_pivot_groups: openai-fine-tuning-new

articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

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- `gpt-35-turbo` (0613)
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- `gpt-35-turbo` (1106)
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- `gpt-35-turbo` (0125)
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
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**<sup>*</sup>** Fine-tuning for this model is currently in public preview.
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articles/ai-services/openai/includes/fine-tuning-python.md

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- `gpt-35-turbo` (1106)
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- `gpt-35-turbo` (0125)
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
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**<sup>*</sup>** Fine-tuning for this model is currently in public preview.
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articles/ai-services/openai/includes/fine-tuning-rest.md

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---
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- `gpt-35-turbo` (0613)
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- `gpt-35-turbo` (1106)
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- `gpt-35-turbo` (0125)
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
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**<sup>*</sup>** Fine-tuning for this model is currently in public preview.
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articles/ai-services/openai/includes/fine-tuning-studio.md

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- `gpt-35-turbo` (0613)
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- `gpt-35-turbo` (1106)
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- `gpt-35-turbo` (0125)
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4` (0613)**<sup>*</sup>**
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- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
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**<sup>*</sup>** Fine-tuning for this model is currently in public preview.
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articles/ai-services/openai/includes/safety-evaluation.md

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GPT-4 is our most advanced model that can be fine-tuned to your needs. As with Azure OpenAI models generally, the advanced capabilities of fine-tuned models come with increased responsible AI challenges related to harmful content, manipulation, human-like behavior, privacy issues, and more. Learn more about risks, capabilities, and limitations in the [Overview of Responsible AI practices](/legal/cognitive-services/openai/overview?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) and [Transparency Note](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext&tabs=text). To help mitigate the risks associated with GPT-4 fine-tuned models, we have implemented additional evaluation steps to help detect and prevent harmful content in the training and outputs of fine-tuned models. These steps are grounded in the [Microsoft Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai) and [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cpython-new).
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GPT-4 and GPT-4o-mini are our most advanced models that can be fine-tuned to your needs. As with Azure OpenAI models generally, the advanced capabilities of fine-tuned models come with increased responsible AI challenges related to harmful content, manipulation, human-like behavior, privacy issues, and more. Learn more about risks, capabilities, and limitations in the [Overview of Responsible AI practices](/legal/cognitive-services/openai/overview?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) and [Transparency Note](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext&tabs=text). To help mitigate the risks associated with GPT-4 and GPT-4o-mini fine-tuned models, we have implemented additional evaluation steps to help detect and prevent harmful content in the training and outputs of fine-tuned models. These steps are grounded in the [Microsoft Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai) and [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cpython-new).
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- Evaluations are conducted in dedicated, customer specific, private workspaces;
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- Evaluation endpoints are in the same geography as the Azure OpenAI resource;
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- Training data is not stored in connection with performing evaluations; only the final model assessment (deployable or not deployable) is persisted; and
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GPT-4 fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you may have created.
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GPT-4 and GPT-4o-mini fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you may have created.
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### Data evaluation
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articles/ai-services/openai/whats-new.md

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---
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## July 2024
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### GPT-4o mini is now available for fine-tuning
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GPT-4o mini fine-tuning is [now available in public preview](./concepts/models.md#fine-tuning-models) in Sweden Central and in North Central US.
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### Assistants File Search tool is now billed
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The [file search](./how-to/file-search.md) tool for Assistants now has additional charges for usage. See the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) for more information.

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