NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...

According to Satya Nadella, Microsoft introduced the Microsoft Agent Framework that enables builders to build, orchestrate, and scale multi-agent systems directly in Azure AI Foundry, highlighting ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

from semantic_kernel.connectors.in_memory import InMemoryStore in_memory_store = InMemoryStore() collection = in_memory_store.get_collection(record_type=SimpleModel ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin ...

Microsoft Build 2025 is here—our annual showcase of the most exciting innovations shaping the future of development and AI. For engineers, makers, and subject matter experts, it’s the moment to see ...

This project demonstrates a two-step agent flow using Azure OpenAI's ChatCompletions API. It features a researcher agent that gathers information on a given topic and a writer agent that synthesizes ...

Over the past year, we’ve seen AI agents evolve from experimental tools to essential components of enterprise systems. From simple prompt and response bots to agents that act autonomously on your ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...

Microsoft has added support for Anthropic's Model Context Protocol to Azure AI, enabling agent interoperability through shared schemas and memory tools. The move positions Azure as a more open and ...