Getting Started with Azure GPT 4 Turbo and OpenAI

Azure GPT 4 Turbo is a powerful tool that can be intimidating to get started with, but don't worry, I've got you covered.

To begin with Azure GPT 4 Turbo, you need to have an Azure account, which is free for the first 12 months. This will give you access to the Azure GPT 4 Turbo service.

The Azure GPT 4 Turbo service is built on top of the OpenAI GPT-4 model, which is a state-of-the-art language model that can understand and respond to natural language inputs.

To use Azure GPT 4 Turbo, you'll need to create a new Azure resource, specifically an Azure GPT 4 Turbo instance. This will involve selecting the desired plan and pricing tier for your instance.

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Azure GPT-4 Turbo is a powerful tool for natural language processing, but getting started can be intimidating.

First, you'll need to sign up for an Azure account if you don't already have one. This will give you access to the Azure GPT-4 Turbo service.

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To start using Azure GPT-4 Turbo, you'll need to create a new resource in the Azure portal. This will involve selecting the GPT-4 Turbo service and configuring the necessary settings.

Azure GPT-4 Turbo supports multiple programming languages, including Python, Java, and C++.

You can also use Azure GPT-4 Turbo with popular frameworks like TensorFlow and PyTorch.

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Building with Azure GPT 4 Turbo is a straightforward process. You can start by creating a flow in Azure AI Foundry and adding the Azure OpenAI GPT-4 Turbo with Vision tool to your flow.

To add the tool, select + More tools > Azure OpenAI GPT-4 Turbo with Vision. Then, select the connection to your Azure OpenAI Service, such as the Default_AzureOpenAI connection. You can also add more tools to your flow as needed.

Here's a step-by-step guide to get you started:

To set up OpenAI with Azure, you'll want to start by creating an Azure account if you haven't already. You can sign up for one at the Azure Portal.

First, create an Azure account if you haven't already. You can sign up for one at the Azure Portal. Once you have an account, you can proceed with the setup.

To set up Azure GPT-4 Turbo, you'll need to create a new resource for GPT-4 Turbo in the Azure OpenAI Service. Ensure you select the appropriate pricing tier based on your usage needs.

You can create a GPT-4V model deployment in any of the following Azure regions: SwitzerlandNorth, SwedenCentral, WestUS, or AustraliaEast. This will allow you to use the model in the Chat Playground.

To access the vision version of the GPT-4 Turbo model, you'll need to create a separate GPT-4 deployment with the 'vision-preview' model version. This will enable you to upload image or video content and use advanced functionalities like optical character recognition extraction.

After deploying the 'vision-preview' version, you can see and select the model in the Configuration panel of the Chat Playground section. You'll also notice an attachment button where you can upload image or video content.

To enable enhanced vision capabilities, you'll need to create a specific Computer Vision resource. This will allow you to use functionalities like object grounding and video prompting.

Here are the steps to set up Azure GPT-4 Turbo:

To integrate the Azure GPT-4 Turbo API with AgentGPT, you'll need to have your API keys handy. Obtain these keys by provisioning the GPT-4 Turbo Resource and retrieving them from the Azure portal.

Once you have your API keys, you can begin the integration process. This involves creating an Azure account, if you haven't already, and setting up the GPT-4 Turbo Resource with the appropriate pricing tier.

The integration process is straightforward, and you can follow the steps outlined in the Azure documentation. To get started, create a new resource for GPT-4 Turbo in the Azure OpenAI Service.

Here are the steps to create an Azure account and provision the GPT-4 Turbo Resource:

To build with OpenAI Vision, you'll want to start by creating or opening a flow in Azure AI Foundry. For more information, see Create a flow.

The first step is to select + More tools > Azure OpenAI GPT-4 Turbo with Vision to add the Azure OpenAI GPT-4 Turbo with Vision tool to your flow.

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You'll then need to select the connection to your Azure OpenAI Service, such as the Default_AzureOpenAI connection. For more information, see Prerequisites.

Next, enter values for the Azure OpenAI GPT-4 Turbo with Vision tool input parameters described in the Inputs table. For example, you can use this prompt to get started:

As an AI assistant, your task involves interpreting images and responding to questions about the image.

Remember to provide accurate answers based on the information present in the image.

# user:

Can you tell me what the image depicts?


To specify an image to analyze, you can upload an image or enter the URL of an image to analyze. Otherwise, you can paste or drag and drop an image into the tool.

To validate the tool inputs, select Validate and parse input.

Here are the basic steps to build with OpenAI Vision:

Once you've completed these steps, you can add more tools to your flow or select Run to run the flow.

JSON Mode is a game-changer for builders working with OpenAI models to integrate with their applications.

GPT-4 Turbo's JSON Mode improves on GPT-4's ability to generate correctly formatted JSON output, making it easier to interoperate with software systems.

This feature is a highly requested addition, and for good reason - it streamlines the process of working with applications.

You can enable JSON Mode by setting response_format to { "type": "json_object" }, making it simple to get started.

With JSON Mode, you can focus on building without the hassle of formatting JSON output, allowing you to create more efficiently.

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Pricing can be a bit tricky with Azure GPT-4 Turbo, but don't worry, I've got you covered.

The base pricing for GPT-4 Turbo with Vision is $0.01 per 1000 tokens for input and $0.03 per 1000 tokens for output.

If you need to process videos, you'll also have to pay extra for the additional tokens used to identify key frames for analysis, which will be roughly equivalent to the sum of the tokens in the text input plus 700 tokens.

Here's a breakdown of the pricing for GPT-4 Turbo with Vision:

Remember to factor in these costs when building with Azure GPT-4 Turbo to ensure your project stays within budget.