Bring OpenAI’s ChatGPT model in Azure to your own enterprise-grade app experiences with precise control over the knowledge base, for in-context and relevant responses. Interact with your organization’s private internal data, while respecting the information protection controls put in place. Azure OpenAI service is combined with Azure Cognitive Search to index and retrieve data that is private and external to the ChatGPT large language model. The retrieval step in Azure Cognitive Search finds the most relevant pieces of information and presents the top ranked results to the language model. And because the knowledge lives outside of the ChatGPT model, you're in control—it’s not used to train the model. See how ChatGPT and copilot technologies work. Microsoft Distinguished Engineer, Pablo Castro, joins Jeremy Chapman to show how it works. ► QUICK LINKS: 00:00 - Introduction 01:29 - Apply ChatGPT to enterprise apps using Azure 03:40 - Demo: Typical app experience 05:45 - How ChatGPT generates a response 07:55 - Experiment with prompts 09:38 - How information protection works 11:03 - Process for adding new information 12:01 - Code behind the sample app 15:00 - Wrap up ► Link References: Watch our OpenAI fundamentals show at Try out the sample app on GitHub at More on Azure Open AI service at Check out Azure Cognitive Search at ► Unfamiliar with Microsoft Mechanics? As 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. • Subscribe to our YouTube: • Talk with other IT Pros, join us on the Microsoft Tech Community: • Watch or listen from anywhere, subscribe to our podcast: ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: • Share knowledge on LinkedIn: • Enjoy us on Instagram: • Loosen up with us on TikTok: @msftmechanics #OpenAI #ChatGPT #Azure #EnterpriseAI











