Latest update to Anthropic’s popular AI model also promises improvements for computer use, long-context reasoning, agent planning, knowledge work, and design.

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

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.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

Google’s goal is to build a “personal, proactive, and powerful assistant,” and Gemini is accomplishing that first tentpole today with “personal context.” The Gemini app is also getting a Temporary ...

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 ...