dbta

Franz Announces New Version of its Knowledge Graph Visualization App

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of knowledge graph technology for Neuro-Symbolic AI applications, is introducing Gruff 9, a web-based advanced ...
insideHPC

Code Conversion, Reasoning, Visualization and Other LLMs for Science at Argonne

The following is an excerpt from an article written by Gail Pieper, coordingating writer/editor at Argonne National Laboratory. The complete article can be found here. Large language models (LLMs) ...
Semiconductor Engineering

LLM-Based Chiplet Design Generation Framework (Univ. of Minnesota)

A new technical paper titled “MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging” was published by researchers at the University of Minnesota – Twin Cities. “As program ...
VentureBeat

DeepMind’s GenRM improves LLM accuracy by having models verify their own outputs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...
Business Wire

Red Hat Launches the llm-d Community, Powering Distributed Gen AI Inference at Scale

Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

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 ...
ZDNet

Make room for RAG: How Gen AI's balance of power is shifting

Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...