As AI becomes embedded in more enterprise processes—from customer interaction to decision support—leaders are confronting a subtle but consistent issue: hallucinations. These are not random glitches.

Abstract: Large language models (LLMs) exhibit remarkable capabilities in natural language understanding and generation. However, the accuracy of the inference depends deeply on the contexts of ...

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 ...

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JDK 25 brings powerful new features to Java and JVM developers. Here are seven new or updated features that could convince you to switch. Java continues its fast and feature-packed release schedule, ...

Anthropic recently released a guide on effective Context Engineering for AI Agents — a reminder that context is a critical yet limited resource. The quality of an agent often depends less on the model ...

The AI hardware landscape is evolving at breakneck speed, and memory technology is at the heart of this transformation. NVIDIA’s recent announcement of Rubin CPX, a new class of GPU purpose-built for ...

Building effective AI agents means more than just picking a powerful language model. As the Manus project discovered, how you design and manage the “context” – the information the AI processes to make ...

Like many image and video AI tools, which have (mostly) stopped creating people with six fingers, AI coding tools have also been making great strides. Case in point: developer Indragie Karunaratne ...

Forbes contributors publish independent expert analyses and insights. Jason Alan Snyder is a technologist covering AI and innovation. An invisible protocol for AI is quietly replacing apps, search, ...