Discussion of “LAMBDA: Large Model Based Data Agent”
本文讨论了一款基于大语言模型的数据分析系统LAMBDA，它通过双代理和无代码架构，让不同背景的用户都能方便地进行统计和机器学习分析，尤其适合探索性分析和模型原型设计。
Large language models (LLMs) are making waves for efficient and reproducible data analysis. We congratulate the authors on developing an impressive LLM-based data analysis system (Sun et al. Citation2025) that makes statistical and machine learning tools more accessible for users across diverse backgrounds. LAMBDA offers a remarkable contribution to this space by well-designing a dual-agent and code-free architecture for interactive data analysis. In contrast to fully autonomous LLM agents, the open-source LAMBDA emphasizes flexibility, robustness, human intervention, and domain adaptability. It provides an excellent choice for exploratory analysis and model prototyping with both structured and unstructured data.