Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. It’s time to look at the real meaning of generative AI. To be clear, ChatGPT isn’t sentient ...

We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

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 ...

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 ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

MCP is a big deal. This open standard (released by Anthropic in late 2024) is designed to make it simpler and easier for AI ...

Writer, a three-year-old San Francisco-based startup which raised $100 million in September 2023 to bring its proprietary, enterprise-focused large language models to more companies, doesn't hit the ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...

It’s increasingly recognised that moving from prompts to context is critical for achieving scalable, adaptive high-impact ...