Create AI agents, equip them with tools, manage multi-turn conversations, and orchestrate multi-agent systems using Microsoft Semantic Kernel. This workflow demonstrates how to build conversational AI ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...

What better way to learn about cutting-edge AI than creating a "copilot" assistant that can act as a mixologist, suggesting new cocktail recipes based on available ingredients? A mixologist example is ...

Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent ...

Microsoft has been busy updating its recently open sourced internal incubation project called Semantic Kernel, an SDK that lets developers mix conventional programming languages with the latest in ...

Microsoft this week announced Semantic Kernel, a new open source framework on GitHub at the early preview stage that aims to help developers tap artificial intelligence (AI) and large language models ...

Microsoft’s Semantic Kernel, an open source SDK for integrating large language models (LLMs) with conventional programming languages, will add capabilities such as plugin testing, dynamic planners, ...