Calling API to Train Your Own Enterprise Data with Azure OpenAI Service
Learn how to call the Azure OpenAI API to train your own enterprise data using streaming and coding methods.
00:00:02 Learn how to call the Azure OpenAI API from a custom application to train your own Enterprise data. Create an Azure OpenAI resource and a cognitive search resource. Use Postman and Microsoft Bot Framework for calling the API.
📚 The video demonstrates how to call the Azure OpenAI API to train custom Enterprise data using Postman and a custom application.
🔧 To get started, an Azure OpenAI resource and a cognitive search resource are needed. The video shows how to create these resources.
🤖 The video showcases the creation of a chatbot using the Microsoft Bot Framework and the calling of the API from the custom application.
00:05:03 Learn how to use the Azure OpenAI API to train your own enterprise data. Explore code examples in Python and C#. Connect a storage account to upload and process data. Interact with the chatbot and get responses.
👉 You can access the ChatGPT source code in Python or C#.
📥 You can upload and store your data in Azure blob storage.
🔄 You can monitor API calls and inspect the pre-processing status.
00:10:08 Using Azure OpenAI Service to call the API and train your own enterprise data. Explains the important components and how to format the data for the API request.
🔑 The video discusses how to call an API to train your own enterprise data with Azure OpenAI service.
💡 To call the API, a data source needs to be passed in the JSON body, along with the endpoint and API key.
💻 The video also covers the process of formatting the JSON data and troubleshooting common errors.
00:15:12 Learn how to call the Azure OpenAI API to train your own enterprise data using streaming and coding methods. Includes a demonstration in C#.
🔍 The video demonstrates how to call an API to train your own enterprise data with Azure OpenAI Service.
⚙️ The video explains how to use the streaming endpoint and the coding aspect of calling the API using C sharp.
⏲️ It is mentioned that there is a delay of approximately seven seconds when using the API.
00:20:17 Demonstration of calling the Azure OpenAI API to train enterprise data using code. Modifying existing code to use Azure ChatGPT for user messages. Adding custom data and error handling.
👉 The video demonstrates how to make a standard API call using code to train an enterprise data model with Azure OpenAI Service.
🔄 The presenter modifies the code to call Azure chat GPT using input prompts provided by the user.
🔀 The code includes error handling, retrieves the response from the API call, and allows for customization of the input data.
00:25:22 The video demonstrates how to call an API to train your own enterprise data using Azure OpenAI service for ChatGPT. Troubleshooting and debugging steps are also shown.
🔍 The transcript discusses debugging an issue with an API call and identifying the problem.
💡 The speaker demonstrates how to use breakpoints to identify and solve the issue with the API call.
⏱️ The debugging process takes longer when using the emulator compared to the online portal.
00:30:30 Calling API to train your own data with Azure OpenAI Service | ChatGPT Azure OpenAI API. Learn how to utilize the streaming endpoint for dynamic front-end implementation.
🔑 Identifying and fixing an index out of range error in the code.
🔎 Exploring the structure of the data response and understanding its organization.
💡 Learning how to use the Azure OpenAI API to train and deploy a web application.
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