What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...
Enterprises are obsessing over model accuracy while ignoring the infrastructure layer where AI systems actually break.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Giridhar Raj Singh Chowhan is a principal architect at Microsoft where he focuses on enterprise architecture and AI cloud platforms. AI agents are rapidly becoming the interface between users and ...
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.
In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...
Tom's Hardware on MSN
Anthropic's model context protocol includes a critical remote code execution vulnerability
A design choice in the MCP SDKs allows remote code execution across the AI supply chain.
The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...
Artificial intelligence (AI) is redefining how B2B go-to-market (GTM) organizations connect with customers and drive growth. Automation has reached a level of intelligence once considered impossible, ...
Imagine binge-watching a TV series, but you can only remember one episode at a time. When you move on to the next episode, you instantly forget everything you just watched. Now, imagine you can ...
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