Showing results for Tag: Semantic Kernel from Semantic Kernel

Introduction Blue Bungalow, one of Australia’s leading fashion retailers, faced a common challenge in eCommerce—how to create a more engaging, seamless, and personalised shopping experience for customers online. They wanted to implement AI-powered assistance to provide personalised product recommendations, accurate sizing guidance, product compari...

Today we'd like to feature a guest author on our Semantic Kernel blog, Mahmoud Hassan, a Microsoft Valuable Professional (MVP) focused on AI. We'll turn it over to him to dive into his work below.   In recent days, there has been significant attention in the AI community regarding DeepSeek-R1 and its capabilities. Many people are play...

Azure OpenAI Chat Completion with data source provides powerful capabilities for integrating conversational AI into applications. However, using a data source and function calling in a single request is not supported yet. When both features are enabled, function calling is ignored, and only the data source is used. This presents a challenge when re...

As we move into the first half of 2025, I'm excited to share our ambitious roadmap that we hope will enable you to build even more sophisticated AI applications with Semantic Kernel. Agent Framework 1.0 By the end of Q1 2025, the SK Agent Framework will transition from preview to general availability (GA). This milestone marks a commitm...

DeepSeek recently awed the AI community by open sourcing two new state-of-the-art models, the DeepSeek-V3 and a reasoning model, the DeepSeek-R1, that not only claim to be op-par with the most capable models from OpenAI but are also extremely cost-effective. We'd like to highlight the recent announcement from the Azure AI Foundry team highlighting ...

Today we’re featuring a guest author, Ricardo Niepel, who’s a Senior Technical Specialist at Microsoft. He’s written an article we’re sharing below; we’ll turn it over to Ricardo to share more! If “Creative Writing Assistant” sounds familiar, it might be because we've previously released a similar multi-agent application built in Python during o...

Leap Forward with Modern AI using Microsoft 365 Agents SDK and Semantic Kernel Today we’re featuring a guest author, Arafat Tehsin, who’s a Microsoft Most Valuable Professional (MVP) for AI. He’s written an article we’re sharing below, focused on how to Leap Forward with Modern AI using Microsoft 365 Agents SDK and Semantic Kernel. We’ll turn ...

The Journey to Multi-Agent Innovation At ServiceNow, we embarked on an ambitious journey to redefine how AI systems collaborate in enterprise environments. Through our partnership with Microsoft, we set out to create something beyond traditional integration – a true multi-agent system across platform that could work effectively alongside human t...

Today I want to welcome back Arafat Tehsin, who’s a Microsoft Most Valuable Professional (MVP) for AI. He’s written an article we’re sharing below, focused on Building Multi-Agent Systems with Multi-Models in Semantic Kernel. We’ll turn it over to Arafat to share more! Imagine running a restaurant. Each of your team member, from the chef to ...

AI Connectors in Semantic Kernel are components that facilitate communication between the Kernel's core functionalities and various AI services. They abstract the intricate details of service-specific protocols, allowing developers to seamlessly interact with AI services for tasks like text generation, chat interactions, and more.   ...