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 ...

Context engineering is reshaping modern AI by grounding systems in relevant data and enabling more accurate, trustworthy agentic applications.

Context helps AI interpret information instead of just processing it. When systems can connect data, history and intent, they ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

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, ...

There’s a quiet but profound transformation underway in how businesses interact with backend systems. It’s not a flashy app or piece of consumer technology - it’s happening at the infrastructure level ...

Context engineering refers to the deliberate design of inputs, instructions, prompts, and environments in which artificial intelligence systems operate. In simpler terms, it's about teaching machines ...

Imagine binge-watching a TV series, but you can only remember one episode at a time. When you move on to the next episode, you instantly forget everything you just watched. Now, imagine you can ...

Scientists have found the link between what we expect to see, and what our brain tells us we actually saw. The study reveals that the context surrounding what we see is all important -- sometimes ...

From televisions to mobile phones, from advertising billboards to signs on city buses, it’s nearly impossible to avoid the advertising and marketing content all around us. It’s content overload, which ...