What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

AI is quickly becoming a core capability in enterprise software, but most developers know that integrating it remains painful. Despite the hype around generative AI and large language models (LLMs), ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

A new GitHub repo serves as a lab for creating a Model Context Protocol (MCP) Server and using it in Microsoft Copilot Studio. The MCP, originated by AI leader Anthropic and taken open source, is a ...

The iPhone could soon gain support for the Model Context Protocol, a move that could make third-party AI tools more useful on Apple products than ever before. In a nutshell, MCP makes it possible for ...

Moving from production models securely and with scalability. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. As the development of AI tools ...

While working on a research paper, I decided to test one of the leading AI assistants and asked Anthropic’s Claude to analyze hundreds of emails and build a spreadsheet of recent Nobel Prize-winners.