The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...

Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed it a prompt and it responds. However, it’s stuck in a bubble: It only knows ...

In the fast-evolving world of Agentic AI, where Large Language Models (LLMs) are rapidly advancing, seamless integration with external tools and data sources remains a key challenge. Imagine an AI ...

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 needs contextual interconnection to work. Model Context Protocol is an open standard developed by the maverick artificial intelligence startup Anthropic. It is designed to allow AI agents to access ...

What if integrating powerful AI tools into your workflows was as simple as plugging in a USB drive? For years, developers have wrestled with the complexities of connecting large language models (LLMs) ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

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 ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

AI innovation today is moving faster than ever before, with leaps and bounds being made in the field on what seems like a weekly basis. Further to innovation that is directly related to or produced by ...