Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.
In this workshop, you will learn how to leverage the Azure OpenAI service to create AI powered solutions. You will get hands-on experience with the latest AI technologies and will also learn how to interact with the Azure OpenAI APIs.
The following prerequisites must be completed before you start these labs
- WI-FI enabled Laptop
- You must be connected to the internet.
You will need to start Azure Lab Services Virtual Machine. Please follow the instructions below to start the VM:
- Go to https://labs.azure.com
- Click on
Sign in with Microsoft Account - Enter the credentials provider to you by the instructor.
- Once logged in, you will see the lab virtual machine. If your virtual machine is not started, click on
stoppedbutton. - The virtual machine will initiate the start process and you will see the status changed to
Starting. - Once Started, you will see the status change to
Running - Click on the
Connectbutton to connect to the virtual machine. This will download a RDP file. - Dobule click on the RDP file to connect to the virtual machine and click on
Connect. - Provide the
passwordprovided to you by the instructor to login. - Once logged in, please open the
Microsoft Edgebrowser. Github Repo for the workshop and Azure Portal are already added to the home page of the browser.
| Activity | Duration |
|---|---|
| Lab 1: Automate Mailbox Responses | 45 min |
| Lab 2: Azure OpenAI on your data | 60 min |
| Lab 3: Chat with your database | 45 min |
| Lab 4: Chat with your documents | 60 min |
- Instructor will run through an overview of solutions and steps
- Audience will then build the solution in their environment.
- Researchers and Developers
- Software Engineers
- Data Scientists
- Solution Architects
- Students
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.