使用 Azure AI Foundry 创建生成式 AI 解决方案和副驾驶
Creating Generative AI Solutions and Copilots with Azure AI Foundry
- 01 - Introduction
- 01 - Welcome to Azure AI Studio
- 02 - 1. Introduction to Azure AI Studio
- 01 - What is Azure AI Studio
- 02 - What you need to know
- 03 - Setting up your Azure AI Studio account
- 04 - Navigating the Azure AI Studio portal
- 05 - Exploring the model catalog
- 06 - Understanding the model benchmarks
- 07 - Exploring additional AI services
- 03 - 2. Getting Started with Hubs in Azure AI Studio
- 01 - Creating a hub using the Azure AI Studio portal
- 02 - Creating a hub using the Azure portal
- 03 - Creating a hub using the Azure CLI
- 04 - Managing connected resources for the hub
- 05 - Deploying an OpenAI model to a hub
- 06 - Managing content filters
- 07 - Managing users for the hub
- 04 - 3. Creating Projects and Using the Playgrounds in Azure AI Studio
- 01 - Creating your first project
- 02 - Deploying a model using the models as a service feature
- 03 - Using the assistants playground
- 04 - Using the images playground
- 05 - Using the completions playground
- 06 - Grounding the model response with the add your data feature
- 07 - Incorporating a Copilot into a Python application
- 05 - 4. Building Your First Copilot with Prompt Flow in Azure AI Studio
- 01 - Creating your first flow
- 02 - Understanding nodes and tools in a flow
- 03 - Configuring the tools and testing the flow
- 04 - Deploying the flow to an endpoint
- 05 - Testing the endpoint using Postman
- 06 - Updating the flow and creating a new deployment
- 06 - 5. Building a Chat Copilot with Prompt Flow and Azure Cosmos DB in Azure AI Studio
- 01 - Provisioning the Azure Cosmos DB resource and loading the data
- 02 - Creating the chat flow
- 03 - Implementing the code for connecting to Azure Cosmos DB
- 04 - Augmenting the prompt using the Jinja format
- 05 - Testing the endpoint using the portal and Postman
- 07 - Conclusion
- 01 - Resources for additional learning