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 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 ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

Artificial intelligence (AI) is changing the way we look at the world. AI "robots" are everywhere. From our phones to devices like Amazon's Alexa, we live in a world surrounded by machine learning.

A study released this month by researchers from Stanford University, UC Berkeley and Samaya AI has found that large language models (LLMs) often fail to access and use relevant information given to ...

What if the key to unlocking the full potential of artificial intelligence isn’t just in the algorithms or the data, but in how we frame the conversation? Imagine an AI assistant that not only ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...