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Enhancing Enterprise Data Solutions with ChatGPT: A Comprehensive Guide
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ChatGPT is a cutting-edge natural language processing (NLP) technology that can be used to create conversational AI agents. It is designed to be a powerful and extensible platform that can be used to integrate with enterprise data sources. Using an existing NLP engine like ChatGPT, enterprises can create robust AI agents that can understand the user's intent and respond to the user in a more natural way. ChatGPT can be used to create conversational AI agents for customer service, sales, marketing, and other enterprise applications.
It can also be used to create more advanced AI agents that can process natural language queries and respond with information from enterprise databases. By integrating with enterprise data, ChatGPT can provide an AI agent with access to the enterprise's data sources and use it to provide a more personalized and accurate response to the user.
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.
In this Video
- 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
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