Build your own private ChatGPT style app with enterprise-ready architecture

Build your own private ChatGPT style app with enterprise-ready architecture

For enterprise-grade architecture, data privacy, and control, build your own private ChatGPT style app using OpenAI GPT models with the Azure AI services. 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. 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. Landing Zone Accelerators simplify deployment for dedicated app-level subscriptions and scoped security and broader policies. Layering these recommendations and approaches helps ensure that your ChatGPT style private app meets enterprise requirements.

Microsoft Azure expert, Matt McSpirit, shares how to build your own private ChatGPT-style apps and make them enterprise-ready using Azure Landing Zones.



00:00 - Build your own private ChatGPT 
00:43 - Benefits of building your own private chat experience 
02:07 - Use an open source ChatGPT-style app sample 
03:16 - Connect your ChatGPT-style experiences 
04:12 - Enhance chat experience with Azure AI Studio 
04:45 - Architecture and security with Azure Services 
06:44 - Landing Zone configuration and accelerators 
07:49 - Wrap Up


► Link References:

Go to the Azure OpenAI Landing Zone at https://aka.ms/OpenAILZ

Get ChatBot UI open-source code in GitHub at https://aka.ms/GitHubChatBotUI

To use Bicep templates, go to https://aka.ms/LZ 

Check out Landing Zone accelerators at https://aka.ms/LZAccelerators

Watch our show on Azure AI Studio at https://aka.ms/AIStudioMechanics

Watch our show on Azure Landing Zones at https://aka.ms/LandingZoneMechanics


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Microsoft Mechanics Podcast

Made for tech enthusiasts and IT professionals. Expanded coverage of your favorite technologies across Microsoft; including Office, Azure, Windows and Data Platforms. We'll even bring you broader topics such as device innovation with Surface, machine learning, and predictive analytics.

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