Context engineering promises to unlock the ability of AI agents to perform more complex processes that require contextual ...

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 ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

In the early days of generative AI, the technology industry’s primary focus was “prompt engineering,” the art of mastering how to ask questions to precisely generate hoped-for results. But as AI ...

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...

Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM. Context engineering has emerged as one of the most critical skills in ...

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 ...

Cognizant and Workfabric AI join forces to create a new discipline that enables high-impact, enterprise-grade agentic AI solutions for clients across industries TEANECK, N.J., Aug. 29, 2025 ...

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 ...