![]() ![]() That said, it doesn’t have to be that way. Of course, to avoid non-sanctioned services you might be tempted to block people in your organization from using these public services outright. And that could mean that in the future, your competitors could gain access to your protected information. For example, starting with data protection, if you are not using a trusted service with security and privacy guarantees like Copilot for Microsoft 365 or others, or if you are using ones with less guarantees, information typed into prompts for additional context or summarization could be retained by the vendor for future model training. In fact, there may be a few reasons why building your own private chat experience can benefit your organization. And as you deploy them, leverage the Azure OpenAI Landing Zone’s reference architecture to run your AI apps securely at scale. Followed by how you can go to the next level with Azure AI Studio to build copilot-style apps that let you bring in your own data for grounding the models to generate more relevant responses. Including what you can do now to get up and running quickly using open source samples with a familiar experience that can be branded for your organization and used with just the model’s open world knowledge to generate responses. If you want to build your own private ChatGPT service with enterprise grade architecture, today I’ll show you your options and considerations for using OpenAI GPT models hosted in Azure. Loosen up with us on TikTok: Transcript:.Keep getting this insider knowledge, join us on social: Watch or listen from anywhere, subscribe to our podcast:.Talk with other IT Pros, join us on the Microsoft Tech Community:.Watch our show on Azure Landing Zones at Unfamiliar with Microsoft Mechanics?Īs Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Get ChatBot UI open-source code in GitHub at Watch our video here:Ġ0:43 - Benefits of building your own private chat experienceĠ2:07 - Use an open source ChatGPT-style app sampleĠ3:16 - Connect your ChatGPT-style experiencesĠ4:12 - Enhance chat experience with Azure AI StudioĠ4:45 - Architecture and security with Azure ServicesĠ6:44 - Landing Zone configuration and accelerators Isolate and secure your app’s deployment with dedicated Azure subscriptions. Leverage Azure Landing Zones for streamlined setup. Integrate enterprise data for retrieval-augmented generation, then build out custom orchestration using prompt flow automation. Microsoft Azure expert, Matt McSpirit, shares how to build your own private ChatGPT-style apps and make them enterprise-ready using Azure Landing Zones.Īccess private instances of GPT LLMs, use Azure AI Search for retrieval-augmented generation, and customize and manage apps at scale with Azure AI Studio. Layering these recommendations and approaches helps ensure that your ChatGPT style private app meets enterprise requirements. Landing Zone Accelerators simplify deployment for dedicated app-level subscriptions and scoped security and broader policies. Importantly, to ensure its enterprise-ready with the right security and scale considerations in place, Azure Landing Zones provide the architectural best practices for apps like this. You can start with open-source samples for design and the user interface along with Azure containers or Azure App Service, then customize what it can do with Azure AI Studio. For enterprise-grade architecture, data privacy, and control, build your own private ChatGPT style app using OpenAI GPT models with the Azure AI services. ![]()
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