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README.md
A gentle introduction to AI on Azure
Goals
In this workshop, we will discuss the reason behind the extraordinary media hype around AI we are currently living and we'll help learners digest the huge amount of news and updates in this technological domain.
| Goal | Demystifying AI terminology and introducing cutting-edge AI tools on Azure |
|---|---|
| What will you learn | Generative AI, Azure AI platform, Azure OpenAI service, LLMs fundamentals, Responsible AI |
| What you'll need | Azure subscription, Azure OpenAI service access, GitHub |
| Duration | 1h |
| Microsoft Cloud Topics taught | Azure Cognitive Services |
| Just want to try the app or see the solution? | github.com/Azure-Samples/azure-search-openai-demo |
| Slides | Powerpoint |
Video
🎥 Click this image to watch Amy and Carlotta guiding you through the material
Pre-Learning
Understand what is Azure OpenAI service and work through the Introduction to Azure OpenAI Service training module.
Prerequisites
To replicate the demo included in the workshop on your own Azure subscription you'll need to:
- Create an Azure Subscription. If you are a student claim your Azure for Students benefit (no credit card required), otherwise sign up for an Azure free trial.
- Review the limited access policy to Azure OpenAI service.
- Apply for access to the Azure OpenAI Service. Note that if your application doesn't match the acceptance criteria, you can rely on the OpenAI public APIs to build your prototype.
What attendees will learn
In this workshop, attendees will learn about how AI has been infused across the whole Microsoft Cloud tech stack and which technological innovations enabled the recent AI revolution. They'll be introduced to the theory about how a large language model works and they'll learn more about Azure AI offering and how to choose the cognitive service that best suits their solution requirements.
Milestone 1: What's behind the AI media hype
In this segment, we'll start by introducing what are the main innovations that are revolutionizing the AI landscape and their impact on societies.
Bonus: Audience Interactivity
The current AI trends are coming with a lot of acronyms. A great way to get your audience involved and active in your talk right away is to include a short quiz where they submit answers for acronyms.
Acronyms we use include: AI, NLP, LLM, GPT
(you can find all speaker notes, descriptions + answers to acronym questions and delivery in the Powerpoint and the Video)
We recommend creating your poll using Microsoft Forms Poll feature. Take a look at the places you could integrate the Forms Poll into your work no matter what platform you are presenting on - 4 Ways to use polls to make your meeting more engaging
Milestone 2: How a Large Language Model works
Next, we'll be introducing the theory behind natural language processing and we'll explain how the transformer architecture enabled a faster progression towards generative AI.
Milestone 3: OpenAI + Microsoft = Azure OpenAI service ❤️
Let's deep dive into what is Azure OpenAI service, what's the difference between Azure OpenAI Service and OpenAI and how this service is placed in the Azure AI platform.
Work through the Introduction to Azure OpenAI Service training module to learn more.
Milestone 4: Integrating generative AI into your application
Moving from theory to practice, let's see an example of an application which combines the capabilities of different Azure services into a single architecture, enabling the users with a ChatGPT like experience based on private data.
Look into the details of the solution, by reading this blog post: Revolutionize your Enterprise Data with ChatGPT: Next-gen Apps w/ Azure OpenAI and Cognitive Search
Milestone 5: Using AI responsibly
Last - but not least - let's learn about the limits of generative AI models and let's discover the tools at our disposal to ensure we are creating less harmful and more trustworthy solutions.
Explore key Responsible AI guidelines and principles
Next steps
-
Discover How-To guides about Generate embeddings and Fine-tune
Practice
-
See examples in the OpenAI Cookbook and OpenAI samples Repo
Feedback
Be sure to give feedback about this workshop!