Browsed by
Category: AI Foundry

Azure AI Foundry is a platform for developers to build, test, and deploy AI applications safely and responsibly. Previously known as Azure AI Studio, it supports the entire AI application development lifecycle, including collaboration and scalability for production. The platform offers various models, services, and tools, ensuring continuous monitoring and refinement for long-term success.

From Azure AI Foundry to Production

From Azure AI Foundry to Production

Comments 0 Comment

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…

Read More Read More

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…

Read More Read More

Testing my AI solution with Azure AI Studio

Testing my AI solution with Azure AI Studio

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…

Read More Read More

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…

Read More Read More