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 ...

Cursor had said last month that it had managed to build a web browser autonomously with AI agents alone. Anthropic seems to ...

Nida’s Functional Equivalence Theory aims to provide a practical guide for translation practice. It carries a clear directive purpose, encouraging translators to make necessary adjustments, ...

The GitHub Copilot SDK turns the Copilot CLI into a cross-platform agent host with Model Context Protocol support.

HunyuanImage 3.0-Instruct is Tencent's 80B parameter MoE model that unifies image understanding and generation through ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

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 ...

Abstract: Data-driven process monitoring has benefited from the development and application of kernel transformations, especially when various types of nonlinearity exist in the data. However, when ...

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 ...