One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...

The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...

What if the key to unlocking the full potential of large language models (LLMs) wasn’t just in the technology itself, but in how you communicate with it? Imagine asking an AI for help drafting a ...

What if the AI tools you rely on could become not just smarter, but exponentially more effective? Imagine an AI assistant that doesn’t just follow instructions but intuitively understands your needs, ...

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

Context is the bedrock on which meaningful interactions are built. We’re at the brink of a major shift in AI. What began as simple, task-specific models is now evolving into something far more ...

The hottest discussion in AI right now, at least the one not about Agentic AI, is about how "context engineering" is more important than prompt engineering, how you give AI the data and information it ...

Context engineering is quickly becoming the backbone of modern artificial intelligence as organizations push for systems that stay accurate, grounded and predictable while handling increasingly ...

For a while, prompt engineering felt like strategy. Craft the perfect input, unlock perfect output. Add a few tokens here, adjust tone there and suddenly your chatbot sounds like a senior marketer. A ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

Fresh off releasing the latest version of its Olmo foundation model, the Allen Institute for AI (Ai2) launched its ...