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gpt4v prerequisites and edits
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articles/ai-studio/how-to/prompt-flow-tools/azure-open-ai-gpt-4v-tool.md

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title: Azure OpenAI GPT-4 Turbo with Vision tool in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Azure OpenAI GPT-4 Turbo with Vision tool for flows in Azure AI Studio.
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manager: nitinme
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ms.service: azure-ai-studio
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ms.topic: reference
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author: likebupt
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ms.author: keli19
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ms.reviewer: eur
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ms.date: 01/02/2024
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ms.topic: how-to
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ms.date: 1/8/2024
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author: lgayhardt
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ms.author: lagayhar
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ms.reviewer: keli19
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ms.custom: references_regions
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---
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# Azure OpenAI GPT-4 Turbo with Vision tool (preview) in Azure AI studio
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# Azure OpenAI GPT-4 Turbo with Vision tool in Azure AI Studio
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Azure OpenAI GPT-4 Turbo with Vision tool enables you to leverage your AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them.
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[!INCLUDE [Azure AI Studio preview](../../includes/preview-ai-studio.md)]
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The prompt flow *Azure OpenAI GPT-4 Turbo with Vision* tool enables you to use your Azure OpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them.
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## Prerequisites
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- Create a GPT-4 Turbo with Vision deployment
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- An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
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- Access granted to Azure OpenAI in the desired Azure subscription.
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Currently, access to this service is granted only by application. You can apply for access to Azure OpenAI by completing the form at <a href="https://aka.ms/oai/access" target="_blank">https://aka.ms/oai/access</a>. Open an issue on this repo to contact us if you have an issue.
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In AI studio, select **Deployments** from the left navigation pane and create a deployment by selecting model name: `gpt-4v`.
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- An [Azure AI resource](../../how-to/create-azure-ai-resource.md) with a GPT-4 Turbo with Vision model deployed in one of the regions that support GPT-4 Turbo with Vision: Australia East, Switzerland North, Sweden Central, and West US. When you deploy from your project's **Deployments** page, select: `gpt-4` as the model name and `vision-preview` as the model version.
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## Connection
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Setup connections to provisioned resources in prompt flow.
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Set up connections to provisioned resources in prompt flow.
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| Type | Name | API KEY | API Type | API Version |
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|-------------|----------|----------|----------|-------------|
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| Name | Type | Description | Required |
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|------------------------|-------------|------------------------------------------------------------------------------------------------|----------|
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| connection | AzureOpenAI | the AzureOpenAI connection to be used in the tool | Yes |
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| deployment\_name | string | the language model to use | Yes |
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| prompt | string | The text prompt that the language model will use to generate its response. | Yes |
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| max\_tokens | integer | the maximum number of tokens to generate in the response. Default is 512. | No |
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| temperature | float | the randomness of the generated text. Default is 1. | No |
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| stop | list | the stopping sequence for the generated text. Default is null. | No |
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| top_p | float | the probability of using the top choice from the generated tokens. Default is 1. | No |
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| presence\_penalty | float | value that controls the model's behavior with regard to repeating phrases. Default is 0. | No |
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| frequency\_penalty | float | value that controls the model's behavior with regard to generating rare phrases. Default is 0. | No |
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| connection | AzureOpenAI | The Azure OpenAI connection to be used in the tool. | Yes |
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| deployment\_name | string | The language model to use. | Yes |
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| prompt | string | Text prompt that the language model uses to generate its response. | Yes |
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| max\_tokens | integer | Maximum number of tokens to generate in the response. Default is 512. | No |
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| temperature | float | Randomness of the generated text. Default is 1. | No |
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| stop | list | Stopping sequence for the generated text. Default is null. | No |
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| top_p | float | Probability of using the top choice from the generated tokens. Default is 1. | No |
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| presence\_penalty | float | Value that controls the model's behavior regarding repeating phrases. Default is 0. | No |
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| frequency\_penalty | float | Value that controls the model's behavior regarding generating rare phrases. Default is 0. | No |
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## Outputs
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articles/ai-studio/how-to/prompt-flow-tools/content-safety-tool.md

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title: Content Safety tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Content Safety tool for flows in Azure AI Studio.
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author: eric-urban
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manager: nitinme
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ms.service: azure-ai-studio
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author: lgayhardt
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# Content safety tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/embedding-tool.md

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title: Embedding tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Embedding tool for flows in Azure AI Studio.
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# Embedding tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/faiss-index-lookup-tool.md

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title: Faiss Index Lookup tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Faiss Index Lookup tool for flows in Azure AI Studio.
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# Faiss Index Lookup tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/llm-tool.md

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title: LLM tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the LLM tool for flows in Azure AI Studio.
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# LLM tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/prompt-flow-tools-overview.md

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title: Overview of prompt flow tools in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: Learn about prompt flow tools that are available in Azure AI Studio.
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ms.topic: overview
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# Overview of prompt flow tools in Azure AI Studio
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| [LLM](./llm-tool.md) | Use Azure Open AI large language models (LLM) for tasks such as text completion or chat. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
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| [Prompt](./prompt-tool.md) | Craft a prompt by using Jinja as the templating language. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
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| [Python](./python-tool.md) | Run Python code. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
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| [Azure OpenAI GPT-4 Turbo with Vision (preview)](./azure-open-ai-gpt-4v-tool.md) | Use AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
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| [Azure OpenAI GPT-4 Turbo with Vision](./azure-open-ai-gpt-4v-tool.md) | Use AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
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| [Vector Index Lookup](./vector-index-lookup-tool.md) | Search text or a vector-based query from a vector index. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
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| [Content Safety (Text)](./content-safety-tool.md) | Use Azure AI Content Safety to detect harmful content. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
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| [Faiss Index Lookup](./faiss-index-lookup-tool.md) | Search a vector-based query from the Faiss index file. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |

articles/ai-studio/how-to/prompt-flow-tools/prompt-tool.md

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title: Prompt tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Prompt tool for flows in Azure AI Studio.
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articles/ai-studio/how-to/prompt-flow-tools/python-tool.md

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title: Python tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Python tool for flows in Azure AI Studio.
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# Python tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/serp-api-tool.md

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title: Serp API tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Serp API tool for flows in Azure AI Studio.
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# Serp API tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/vector-db-lookup-tool.md

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title: Vector DB Lookup tool for flows in Azure AI Studio
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titleSuffix: Azure AI Studio
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description: This article introduces the Vector DB Lookup tool for flows in Azure AI Studio.
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manager: nitinme
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# Vector DB Lookup tool for flows in Azure AI Studio

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