Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.

At a glance, the two large B2B companies were almost identical. Both sell complex, multi-year technology services; they compete for many of the same enterprise customers. Sales stages, forecasting ...

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.

Gemini is adding a feature that’s designed to feel more tailored to individual users. Once enabled, "Personal Intelligence" can pull context from across your Google ecosystem, including Gmail, Google ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

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 ...

Model Context Protocol (MCP) is an open-source and universal communication protocol that allows AI models to connect to external data sources. MCP has been developed by Anthropic, and Google, OpenAI, ...

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 ...

Core Data is a graphical and persistence framework, which is used in Apple devices with operating systems macOS and iOS. Core Data was first introduced in Mac OS X 10.4 Tiger and iOS with iPhone SDK 3 ...