The top 3 out of 5 high-ROI uses of RAG models in banking and fintech do both: generate new income and save. Use cases 4 and ...

This paper proposes an innovative framework leveraging Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to automate the extraction and organization of access control policies from ...

As someone who has used a Pixel phone with GrapheneOS, I find this assumption a bit unsettling. I have plenty of reasons to use GrapheneOS, and avoiding law enforcement isn’t on the list at all.

Researchers had previously found that use of large language models (LLMs), such as those that power ChatGPT, was changing vocabulary choices in written communication, and Yakura and his colleagues ...

Learn why re-ranking fails to stop hallucinations in RAG systems and how context pruning ensures smarter, more reliable AI responses.

BenchmarkQED is an open-source toolkit for benchmarking RAG systems using automated query generation, evaluation, and dataset prep. It shows that LazyGraphRAG outperforms standard methods, especially ...

Generative AI: Retrieval-augmented generation (RAG) systems use knowledge graphs to organize data hierarchically, improving the relevance and accuracy of AI-generated outputs.

We’re working on ontology-based RAG project using supply-chain data and official USTR documents. Now using the LightRAG as a base and relying heavily on a graph engine to model relationships between ...

Similarly, for a story on deforestation in Cambodia, Andrés developed three distinct visuals: a bar chart illustrating forest loss, a network diagram mapping the connections between companies and ...

Millionaire Tax Would Generate About $400 Billion in Revenue Marriott’s CEO spoke out about DEI. The next day, he had 40,000 emails from his associates American Airlines Announces Change to ...