“Each new service that we add to our architecture requires a lot of work across different teams. Since we already had native vector support with Azure SQL Database, we only had to write the code that ...

This sample app demonstrates how to create technical documents for a codebase using AI. More specifically, it uses the agent framework offered by Semantic Kernel to ochestrate multiple agents to ...

Abstract: Graphics processing units (GPUs) underpin high-performance computing, artificial intelligence, and scientific simulation, yet rising architectural complexity complicates timely and accurate ...

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 ...

Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all of ...

Linux 6.17 features significant CPU improvements. It addresses the eternal Spectre and Meltdown security holes. The next release, 6.18, will be a long-term support kernel. Linus Torvalds is the first ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

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 ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...