You'll be storing all your configuration as user-secrets to keep things simple and safe. NET CLI (or an IDE) to create a new console application: dotnet new console -o ChatConsole cd ChatConsoleĪdd the user-secrets configuration builder NuGet package which you'll use to load configuration from the Secrets Manager: dotnet add package Microsoft. Now, click on the Keys and Endpoint tab in the left navigation and copy the KEY 1 and Endpoint somewhere safe. Remember the name of your Model deployment, as you'll need this later in your. Keep in mind, this is just the start of this new service, and there's a lot more to come ) You can't customize your model inside the Azure portal itself, but you there's a link "Go to Azure OpenAI Studio" which takes you to the Cognitive Services portal where you can use the playground to experiment with the different models, and you can customize the model by providing extra training data. Gpt-35-turbo is the model that OpenAI trained specifically for ChatGPT, however, ChatGPT also offers a newer model GPT4 which is not yet available in Azure OpenAI. Give your model any name, select gpt-35-turbo (version 0301) as the Model, select 0301 as the name, and click Save. Then in your OpenAI instance, click on the Model deployments tab in the left navigation, and then click the Create button up top. Once Azure says, "Your deployment is complete", click on the Go to resource button. It took about 10 minutes for me, so go make some coffee, or even better, some delicious tea. Now, Azure will provision your Azure OpenAI instance which will take some time. Here you'll see an overview of what you're about to create. Click Next until you reach the Review + submit page. Leave the defaults on the Network and Tags page. Select the resource group you want to use, or create a new one, give your OpenAI instance a globally unique name, and select any pricing tier (there's only one at the time of writing this). On the product page for Azure OpenAI, click on the Create button. Use the search box to search for " OpenAI" and click on the Azure OpenAI product. Open the navigation on the left and click on Create a resource. To create an Azure OpenAI Service, first open a browser and navigate to the Azure Portal. Feel free to submit GitHub issues if you encounter any problems or have questions. You can find the source code for this tutorial on this GitHub repository. An Azure Subscription and access to Azure OpenAI Service ( request access here).A code editor or IDE (I recommend JetBrains Rider, Visual Studio, or VS Code with the C# plugin).NET 7 SDK (earlier and newer versions may work too) You'll need the following things to follow along: NET client library to create a chatbot inside the console. In this tutorial, you'll learn how to create an Azure OpenAI Service and consume the API using the OpenAI. (C'mon Microsoft, any service where you have to be manually approved is not GA, but I digress.) While Azure has released the Azure OpenAI Service as "Generally Available", to actually get access to the service, you need to fill out this form and be approved by Microsoft. You don't have to worry about accidentally sharing data with others. The interesting thing about Azure OpenAI Service, is that the same models are used as OpenAI, but they are deployed inside of your Azure subscription, so they are completely isolated from OpenAI and from other Azure OpenAI Services. Since then, OpenAI has opened up an API for ChatGPT, but in addition to that, Azure has been working with OpenAI to offer its own version of OpenAI's models through Azure, adding on the security, integration, and management features you expect from the Azure cloud platform. Not much later, even my non-technical friends started experimenting with ChatGPT and Bing chat, without me ever mentioning it to them. Within just a couple of weeks, ChatGPT went from something only technical computer people knew about, to quickly being adopted by kids and teenagers to help them "cheat" on schoolwork. ChatGPT went viral shortly after it was launched by OpenAI.
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