Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

As the development of AI tools accelerates, organizations are under increasing pressure to move models from prototype to production securely and with scalability. Behind the scenes, managing AI models ...

Learn how financial modeling projects future performance and supports strategic planning with essential components like ...

Around the world, the biggest players in LLM technology are coming out with new versions of their models at staggering speed. But how do they stack up? Analyst and testers (and others) are coming up ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In math or coding, parameters are used to set limits or determine output. The ...

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, ...

One of the most invigorating streams of research in the field of cognitive science is the practice of cognitive modeling. We’re far from understanding how the mind works, but by building cognitive ...

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, ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. The AI boom has been defined by unprecedented innovation across nearly every sector. From ...