OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal ...
LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
It’s a common enough scenario in many synthesis labs: you know what starting material you have, and you know what product you need but not quite what reaction conditions will get you there. Unless you ...
The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Woman working on desktop PC while yellow robot arms hand her papers and folders. Credit: VentureBeat made with Midjourney Is the Google Search for internal enterprise knowledge finally here...but from ...
The GFM-RAG is the first graph foundation model-powered RAG pipeline that combines the power of graph neural networks to reason over knowledge graphs and retrieve relevant documents for question ...
According to DeepLearning.AI, it launched a short course titled Agentic Knowledge Graph Construction in collaboration with Neo4j and taught by Andreas Kollegger to show how knowledge graphs complement ...
Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results