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Merge pull request #5843 from mrbullwinkle/mrb_07_02_2025_freshness_yaml
[Azure OpenAI] [Freshness] [YAML]
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articles/ai-foundry/openai/faq.yml

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manager: nitinme
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ms.service: azure-ai-openai
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ms.topic: faq
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ms.date: 03/27/2025
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ms.date: 07/02/2025
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title: Azure OpenAI frequently asked questions
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If you wanted to help a GPT based model to accurately respond to the question "what model are you running?", you would need to provide that information to the model through techniques like [prompt engineering of the model's system message](/azure/ai-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions), [Retrieval Augmented Generation (RAG)](/azure/machine-learning/concept-retrieval-augmented-generation?view=azureml-api-2) which is the technique used by [Azure OpenAI on your data](/azure/ai-services/openai/concepts/use-your-data) where up-to-date information is injected to the system message at query time, or via [fine-tuning](/azure/ai-services/openai/how-to/fine-tuning?pivots=programming-language-studio) where you could fine-tune specific versions of the model to answer that question in a certain way based on model version.
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To learn more about how GPT models are trained and work we recommend watching [Andrej Karpathy's talk from Build 2023 on the state of GPT](https://www.youtube.com/watch?v=bZQun8Y4L2A).
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To learn more about how GPT models are trained and work we recommend watching [Andrej Apathy's talk from Build 2023 on the state of GPT](https://www.youtube.com/watch?v=bZQun8Y4L2A).
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How can I get the model to respond in a specific language?
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How do I fix Server error (500): Unexpected special token
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This is a a known issue. You can minimize the occurrence of these errors by reducing the temperature of your prompts to less than 1 and ensuring you're using a client with retry logic. Reattempting the request often results in a successful response.
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This is a known issue. You can minimize the occurrence of these errors by reducing the temperature of your prompts to less than 1 and ensuring you're using a client with retry logic. Reattempting the request often results in a successful response.
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If reducing temperature to less than 1 does not reduce the frequency of this error an alternative workaround is set presence/frequency penalties and logit biases to their default values. In some cases, it may help to set `top_p` to a non-default, lower value to encourage the model to avoid sampling tokens with lower probability tokens.
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No. Currently Assistants supports only local files uploaded to the Assistants-managed storage. You cannot use your private storage account with Assistants.
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Does Assistants support customer-managed key encryption (CMK)?
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Does the Assistants feature support customer-managed key encryption (CMK)?
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Today we support CMK for Threads and Files in Assistants. See the [What's new page](./whats-new.md#customer-managed-key-cmk-support-for-assistants) for available regions for this feature.
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articles/ai-foundry/openai/how-to/switching-endpoints.yml

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articles/ai-foundry/openai/index.yml

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ms.topic: landing-page
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# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
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# Limits: https://review.learn.microsoft.com/help/contribute/contribute-how-to-write-landing-page?branch=main#limits

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