2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Supreme Court Deals ...

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 ...

MCP certification is a hot topic in AI hiring. Here’s what courses are available now, when official certification might arrive, and why it may not solve every problem. The Model Context Protocol (MCP) ...

What if the key to unlocking truly intelligent AI isn’t just about asking the right questions, but about building the perfect environment for those questions to thrive? While much of the conversation ...

Can you imagine yourself having a conversation with Windows about what your PC is doing? Microsoft’s Windows chief can, and is trying to build a future where those interactions are the norm. In an ...

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 Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...