Skip to main content

Getting started with the Azure AI services

Azure has a lot to offer if you want start building AI enabled solutions. But where do you start? There is just so much to learn and explore that it is easy to get lost in all the services, documentation and information out there. That's where the Book of AI comes in. This comprehensive guide is designed to help you navigate the world of AI services in Azure, providing you with the resources, tutorials, and sample code you need to build innovative solutions using Azure AI services.

Why use the Book of AI?

The website itself gives the following arguments:

I can only agree with that. Use the book of AI to try out not only the different Azure AI services but also the different SDK’s and client libraries. Not a C# developer?  No problem! All examples are available in multiple programming languages.

 

Eat your own AI

But for me the greatest feature of the Book of AI is not the content itself but the way it has been created. Instead of manually writing the complete website, it was completely generated by combining the power of OpenAI's GPT-4o model with the Azure AI CLI.

They first created a context aware OpenAI assistant that contained all the source code:

github clone https://github.com/Azure/azure-ai-cli
ai chat assistant create --name MyCliAssistant --files "\*\*/*.cs"

Then they used the Azure AI CLI to execute different prompts. Check out the dev folder inside the Github repo to find the different prompts used to generate the website.

ai chat --built-in-functions --user-prompt @PROMPT1

Here is an example:

 

 Impressive!

More information

BOOK of AI

Unlock Azure AI with the Book of AI: A Developer's Journey by Rob Chambers

Labels:

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...
Read more

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.
Read more

VS Code Planning mode

After the introduction of Plan mode in Visual Studio , it now also found its way into VS Code. Planning mode, or as I like to call it 'Hannibal mode', extends GitHub Copilot's Agent Mode capabilities to handle larger, multi-step coding tasks with a structured approach. Instead of jumping straight into code generation, Planning mode creates a detailed execution plan. If you want more details, have a look at my previous post . Putting plan mode into action VS Code takes a different approach compared to Visual Studio when using plan mode. Instead of a configuration setting that you can activate but have limited control over, planning is available as a separate chat mode/agent: I like this approach better than how Visual Studio does it as you have explicit control when plan mode is activated. Instead of immediately diving into execution, the plan agent creates a plan and asks some follow up questions: You can further edit the plan by clicking on ‘Open in Editor’: ...
Read more