As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...
Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...
Varonis Systems, Inc. has announced the launch of the Varonis Model Context Protocol (MCP) Server, which enables users to access and manage the Varonis Data Security Platform through AI clients like ...
The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows us to plug our AI models directly into our security stack (SIEM, EDR, ...
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 ...
One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the information environment that the model uses to answer a question. Instead of ...
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 ...
What if the very systems designed to enhance accuracy were the ones sabotaging it? Retrieval-Augmented Generation (RAG) systems, hailed as a breakthrough in how large language models (LLMs) integrate ...
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