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Tag: Generative AI

Building an AI Agent That Generates Test Data

Building an AI Agent That Generates Test Data

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Recently, I was creating an agent with the goal to identify potential incidents in Teams community of practice channels. I started building this agent to find problems such as “I need help” and create ServiceNow incidents from its information. Testing it meant feeding realistic support cases into the system. But here’s the problem: real support data contains sensitive information. Project names. Client issues. Internal struggles. You can’t demo that publicly. You can’t even use it safely in testing. This isn’t…

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Agents, Agents, Agents

Agents, Agents, Agents

The Agents topic is everywhere and omnipresent. Everybody tells you; this is the next big thing. You need an army of agents that finish your work. But how do I build such agents? Should I go for pro-code or for low-code? Should I use AI Foundry or Copilot Studio. Furthermore, what is a good example of building an agent? This was also the billion dollar-question for me. Today, I will showcase a small example to you where I will build…

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Using AI for Data Correction

Using AI for Data Correction

How do you usually use Generative AI? That’s a question I get asked quite often. Most of the time, my answer is something like this: “I use it to summarize texts. I also draft ideas together with the AI, and it helps me write content more efficiently.” But this is just one piece of the puzzle. In automation scenarios within the Power Platform, I also utilize AI for data correction. Today, I will explain how this process works. In detail,…

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Better RAG – Data Preparation for Copilot – Part 2

Better RAG – Data Preparation for Copilot – Part 2

In my last blog post, I explained you why data preparation for Copilot Agents is necessary. In other words, why we must improve the raw data for RAG (Retrieval Augmented Generation). Today I will delve more into the technical details of the preparation step. Let’s discover together what I can do to improve my raw PDF documents. First, I will explain to you how I extract content as Markdown from these documents with Azure AI Document Intelligence. I’m implementing this…

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Using Images in Prompt flow – Troubleshooting

Using Images in Prompt flow – Troubleshooting

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…

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Enable Tracing in Prompt flow

Enable Tracing in Prompt flow

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…

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Deploy your Prompty as Docker Container

Deploy your Prompty as Docker Container

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…

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Prompty for VS Code!

Prompty for VS Code!

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…

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Azure AI Studio – AI Development Process

Azure AI Studio – AI Development Process

Are you ready for the next steps? In my last blog post Getting started with ALM in AI Studio I described how-to define an AI use case in Azure AI Studio. I have written down my objective for my use case, prepared my sample data and created a basic prompt for my AI application. Finally, I drafted my solution set. Today, I will continue the application lifecycle management (ALM) process and explain to you how I’ll start developing my example…

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Azure AI Studio – Getting started with ALM!

Azure AI Studio – Getting started with ALM!

Hey there! I love talking about the principles of application lifecycle management (ALM) because it’s a crucial aspect of developing successful applications. I know it might sound boring, but trust me, it’s not! Understanding and implementing ALM from the beginning can simplify the development, usage, and management of your applications. This is especially important for Generative AI applications. I discovered that Azure AI Studio can be a great tool to get started with ALM for your Generative AI solutions. The…

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