Marketing demos show us: Take your document and put it into a Copilot Studio. As result you have a chatbot solution that answers all questions about the document. But is this really the truth? No, it isn’t. This principle works for some well-structured documents with a limited size. Moreover, when I apply the same principle to lots of documents I will fail and that frustrates my end users. Trust me, I have seen this a lot. For that reason, I…
Azure AI Foundry former known as Azure AI Studio has seen significant improvements since I first began exploring this topic. Consequently, it took some time before I could complete my fourth blog post on Application Lifecycle Management (ALM) for AI applications. Today, I want to focus on the final stage of the ALM process. This means, I’ll be explaining how you can seamlessly deploy your AI solutions, developed in Azure AI Foundry, to production. In production, my goal is to…
Working with Azure Open AI models that integrate text and images is cool. Correctly, I’m talking about GPT-4o and GPT-4o-mini. It is amazing to see the results of adding visual content to LLM prompts. Furthermore, it’s so easy with Prompty to define and review these prompts. But there is sometimes the devil in the detail, when when it comes to integration. Yes, I’m talking about using images in Prompt flow from generated Python code. Today I will take you on…
Usually, when we talk nowadays about AI, we mean ChatGPT or large language models (LLMs). However, there are other Azure AI Services that are extremely important for the business world. One of these services is Azure AI Document Intelligence which I can use to extract information from my digital documents. But can I use Document Intelligence directly from Power Automate? Yes, I can, and I will explain to you how I use Azure AI Document Intelligence directly from Power Automate…
Recently a colleague reached out to me and asked me: “Hey Michael, how can I automate sending of overdue notifications for missed training? ” I answered: “You can achieve this using Power Automate!” Upon further examination of the use case, I discovered that my colleague exports information from an internal training system into excel and stores the file in OneDrive. A closer look to the workflow showed me this: My colleague manual task is this: Let’s start! Demo Data First,…
Working with Generative AI is cool. As a user, you mostly see the chatbot as frontend of an AI application with amazing results produced by Large Language Models (LLMs). However, as a developer, I need more insights during the development phase. Specifically, I want to know what information is being passed to my LLM. That’s why I usually enable tracing for my AI applications, but how can I do this in Prompt flow? That is not so difficult. So let…
In my last blog post, I started using Prompty for VS Code, and it was an amazing experience. I realized how easily I can define and write my prompts in a single Prompty file. This solves one of the basic problems I encounter when starting to create a new AI solution. However, there is another challenge: How do I deploy my Prompty – maybe within a Docker container? Yes, for sure, this is possible. Moreover, this is a good practice…
I love developing and prototyping AI solutions. For that reason, I’m always looking for new tools that help me streamline this process. What should I say? I have found a new friend in VS Code. Yes, I recently discovered Prompty – a new extension for VS Code developed by Microsoft. But what is the difference of Prompty to other extensions such as Prompt flow for VS Code? The answer is simple. Prompty standardizes how I can specify, develop, run, and…
I began this journey into Application Lifecycle Management for AI applications by introducing ALM in AI Studio (Getting started with ALM in AI Studio). Moreover, I provided a brief overview of Azure AI Studio and the definition phase to you. Subsequently, we explored the Azure AI Studio Development Process in depth. I detailed how I developed my example solution. Today, I will proceed to discuss how I’m running a streamlined test process in Azure AI Studio for my AI solution as part…
You may have read in my previous blog posts that I prefer deploying my APIs and AI solutions as Microsoft Containerized Apps. The reason for this is that containerized apps provide me with an ideal balance between scalability and pricing. In this post, I will explain how to enhance the security of these APIs. Specifically, I will show you how to set up – Easy Auth – which means authentication for container apps and correctly configure security in a custom…