Anthropic’s Model Context Protocol (MCP) is emerging as a standardized way for large language models to connect with external tools and data sources, promising more dynamic, agent-like behavior. While ...

While Large Language Models (LLMs) like LLama 2 have shown remarkable prowess in understanding and generating text, they have a critical limitation: They can only answer questions based on single ...

Anthropic’s Model Context Protocol (MCP) is standardizing how LLMs connect to tools, APIs, and databases, but risks like tool overload and context gaps remain. Experts suggest combining MCP with graph ...

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...

Knowledge graph startup Diffbot Technologies Corp., which maintains one of the largest online knowledge indexes, is looking to tackle the problem of hallucinations in artificial intelligence chatbots ...

Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

The financial services industry has spent the better part of three years evaluating, piloting, and deploying large language ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

PromptGraph ai has announced the launch of its LLM-Verified Trust Badge, a new industry framework designed to help businesses provide verifiable, real-time data directly to AI systems. This aims to ...