In today’s fast-paced world, AI and Generative AI solutions are rapidly expanding, providing unparalleled access to vast amounts of data. Ensuring the security of these solutions is paramount, as compromised applications can lead to significant data breaches and security risks. Are you still using Keys to access your Azure OpenAI / AI resources? In this… READ MORE
In a post on X dated March 26, 2025, OpenAI CEO Sam Altman announced that OpenAI has integrated support for the Model Context Protocol (MCP) into its Agents SDK. As outlined in the Model Context Protocol (MCP) documentation for the OpenAI Agents SDK: MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like… READ MORE
Azure’s AI ecosystem can be overwhelming with terms like Azure OpenAI Service, Azure AI Service, Azure OpenAI Studio, Azure AI Studio, and Azure AI Foundry all floating around. If you used Azure a long back and again came after some period of time and just confused now, don’t worry you are in the right place to… READ MORE
We are talking about a custom engineered Copilot which can execute the Azure VM lifecycle management (start and stop for demo) autonomously onto Azure cloud with simple natural language prompts through chat using Copilot Studio. Note: Not to be confused with Microsoft Copilot for Azure (wrote about it here in 2023). Let’s go!! The rapid evolution of… READ MORE
Model Context Protocol (MCP) Overview As AI ecosystems become increasingly complex, seamless interoperability and effective context-sharing among models, agents, and tools are essential. The Model Context Protocol (MCP) serves as a kind of “USB-C port” for AI, providing standardized, secure access to data, capabilities, and workflows across different systems. I won’t delve into the foundational… READ MORE
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In this video, I’ll walk you through Azure AI Studio — a powerful platform for building advanced AI solutions, whether you’re a beginner experimenting with concepts or a professional developer working within an enterprise. This video will cover five key parts: What is Azure AI Studio Creating a model with Azure OpenAI Importing data into… READ MORE
Integrating large language models (LLMs) into apps has become popular over the past few years. But there’s challenges hiding beneath the surface. The way some apps send general queries to LLM endpoints (like Open AI’s API) is basically a black box. If the responses start to vary or the quality decreases, figuring out the “why”… READ MORE
DISCLAIMER: The content below is intended for educational purposes. Actual performance and outcomes will depend on your dataset, indexing strategies, and the task you’re trying to solve with your RAG pipeline. Experimentation is strongly recommended. Retrieval-Augmented Generation (RAG) solutions combine Large Language Models (LLMs) with external data sources to produce factually grounded, context-aware answers. A… READ MORE
Azure AI Speech Services has been evolving since its launch, offering users the ability to create voice-enabled, multilingual generative AI applications with rapid transcription and natural-sounding voices. It enables text-to-speech conversion and vice versa, translates videos into multiple languages, supports real-time interactions using APIs, and much more, as detailed on the here. In May of… READ MORE
