Your Story

Retrieval-Augmented Generation (RAG)

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is a method in artificial intelligence that enhances a language model's output in two steps. The first step retrieves ...
Forbes

What Is Retrieval Augmented Generation In AI, And Why Is It So Popular Today?

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI RAG add information that the large language model should ...
InfoWorld

Retrieval-augmented generation with Nvidia NeMo Retriever

Nvidia was founded by three chip designers (including Jensen Huang, who became CEO) in 1993. By 1997 they had brought a successful high-performance 3D graphics processor to market; two years later the ...
ascopubs.org

RadOncRAG: A Novel Retrieval-Augmented Generation Framework Improves Large Language Model Benchmark Performance in Radiation Oncology

Large language models (LLMs) show promise in assisting knowledge-intensive fields such as oncology, where up-to-date information and multidisciplinary expertise are critical. Traditional LLMs risk ...
ascopubs.org

Implementing a retrieval-augmented generation-based large language model to guide oncologists in searching for FDA-approved therapies for patient treatment planning.

Development and validation of an AI model for predicting germline BRCA1/2 mutations from HR+/HER2- breast cancer histology images.