We introduce ChronoQA, a benchmark dataset for Chinese question answering focused on evaluating temporal reasoning in Retrieval-Augmented Generation (RAG) systems. Built from over 300,000 news ...

Large language models (LLMs) have significantly advanced in recent years, greatly enhancing the capabilities of retrieval-augmented generation (RAG) systems. However, challenges such as semantic ...

Learn why scalable AI needs balanced servers, storage, networking, and data access to support training, inference, and RAG at ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Exploring AI-generated content and professional guidelines in cancer symptom management: A comparative analysis between ChatGPT and NCCN guidelines. Performance of various RAG-LLMs for clinical trial ...

As AI agents become increasingly capable of performing research, executing workflows, and making decisions autonomously, a ...

The new service automates embeddings, indexing, and connectors to help developers focus on building AI apps instead of ...

Millions of people rely on AI assistants every day to retrieve facts, diagnose problems, and summarize the news. But what ...

Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

Google Ad Manager AI agent Ask Ad Manager launches in beta this month, using Gemini and retrieval-augmented generation over ...