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.

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 https://aka.ms/OpenAIMechanics

Try out the sample app on GitHub at https://aka.ms/entGPTsearch

More on Azure Open AI service at https://aka.ms/azure-openai

Check out Azure Cognitive Search at https://aka.ms/azsearch

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Can ChatGPT work with your enterprise data? 15:56 Share

Microsoft Mechanics Podcast

Shownotes Transcript

Can ChatGPT work with your enterprise data?