This repository introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them.
Focus: Introduction, First Steps & Prompt Engineering
- 📣 Intro (30min)
- Introductions & Setting Expectations
- Use Case Ideation & Brainstorming
- 📣 Intro to Azure OpenAI, Prompt Engineering & Demos (105min)
- Azure OpenAI Service
- Demo(s)
- Break
- 🧑🏼💻 Lab #1 - Hands-on with Prompt Engineering Exercises
- 📣 Intro to AI Orchestration (60min)
- AI Orchestration
- Demo(s)
Focus: Building AI Apps & Incorporating LLMs
- 📣 Intro to AI Orchestration Continued (135min)
- Wrapping-up (60min)
- Use Case Validation
- QnA & Closing Remarks
The steps in this section will take you through setting up Azure OpenAI and some configuration files so that you can complete all of the hands-on labs successfully.
When you're done with this workshop and ready to move on, the following may be useful.
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.
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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.
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