Azure AI

Introduction Recently, I explored Microsoft’s Semantic Kernel Agent Framework, an experimental extension (at the time of writing) designed to build AI agents and integrate applications using the same features as Semantic Kernel. Here’s my take on it, including what I built, the key parts I used, and how it made my life easier. What I wanted to create I wanted to create a multi-agent application that seamlessly integrates business functions with AI agents. Here are the key capabilities I was looking for: ...

Understanding and Mitigating Prompt Injection Attacks with Prompt Shield in Azure AI Studio Introduction In the fast-changing landscape of Generative AI and its applications, keeping AI models secure and reliable is very important. Prompt injection is one of the prominent attack identified against AI Implementations. Azure AI Studio offers a solutions to tackle these threats and is called Prompt Shield. This blog will explain what prompt injection attacks are, their possible effects, and how Azure AI Studio’s Prompt Shield can protect against them. ...

This guide will walk you through the process of enhancing language models using RAG architecture in Azure AI Studio. Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) capabilities, like those of GPTs, by integrating an information retrieval system. This addition grounds data and controls the context for the LLM’s response generation.