rLLM BLOG

It has been six months since the release of rLLM v0.1. Over this period, our team has remained committed to improving the system’s architecture, consistency, and overall usability. Guided by valuable user feedback and reported issues, we have implemented three... [Read More]

Our project is supported by the CCF-Huawei Populus Grove Fund (CCF-华为胡杨林基金数据库专项). The goal of this project is to focus on Tabular Data Governance for AI Tasks. The core challenge is: LLMs have strong generalization capabilities, while databases contain vast amounts... [Read More]

Recently, our research team at Shanghai Jiao Tong University and Tsinghua University released the first version of rLLM (relationLLM). The goal is to facilitate the machine learning workflows on those data stored in the relational databases with Large Language Models... [Read More]