Aug, 2023
RaLLe: 发展和评估检索增强的大型语言模型的框架
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Yasuto Hoshi, Daisuke Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka...
TL;DRR-LLMs improve factual question-answering by combining pre-trained large language models with retrieval systems; RaLLe is an open-source framework that facilitates the development, evaluation, and optimization of R-LLMs for knowledge-intensive tasks, enhancing performance and accuracy.