LAMBDA：基于大型模型的数据代理

摘要

我们介绍了一种名为“LAMBDA”的新型开源、无代码多智能体数据分析系统，利用大型模型的强大能力。LAMBDA旨在通过创新设计的数据智能体，通过自然语言迭代生成来解决复杂数据驱动应用中的数据分析挑战。LAMBDA的核心是两个关键智能体角色：程序员和检查员，它们经过精心设计以无缝协作。具体而言，程序员根据用户的指令和领域特定知识生成代码，利用先进模型进行增强。与此同时，检查员在必要时调试代码。为确保稳健性并处理不利情况，LAMBDA具有用户界面，允许用户直接介入操作循环。此外，LAMBDA可以通过我们的知识集成机制灵活集成外部模型和算法，满足定制数据分析的需求。LAMBDA在各种机器学习数据集上表现出色。它有潜力通过无缝整合人工智能和人类智慧来增强数据科学实践和分析范式，使其对来自不同背景的个人更加易于访问、有效和高效。LAMBDA在解决数据科学问题方面的出色表现在几个案例研究中得到展示，详情请参阅https://www.polyu.edu.hk/ama/cmfai/lambda.html。

English

We introduce ``LAMBDA," a novel open-source, code-free multi-agent data analysis system that that harnesses the power of large models. LAMBDA is designed to address data analysis challenges in complex data-driven applications through the use of innovatively designed data agents that operate iteratively and generatively using natural language. At the core of LAMBDA are two key agent roles: the programmer and the inspector, which are engineered to work together seamlessly. Specifically, the programmer generates code based on the user's instructions and domain-specific knowledge, enhanced by advanced models. Meanwhile, the inspector debugs the code when necessary. To ensure robustness and handle adverse scenarios, LAMBDA features a user interface that allows direct user intervention in the operational loop. Additionally, LAMBDA can flexibly integrate external models and algorithms through our knowledge integration mechanism, catering to the needs of customized data analysis. LAMBDA has demonstrated strong performance on various machine learning datasets. It has the potential to enhance data science practice and analysis paradigm by seamlessly integrating human and artificial intelligence, making it more accessible, effective, and efficient for individuals from diverse backgrounds. The strong performance of LAMBDA in solving data science problems is demonstrated in several case studies, which are presented at https://www.polyu.edu.hk/ama/cmfai/lambda.html.

LAMBDA：基于大型模型的数据代理

LAMBDA: A Large Model Based Data Agent

摘要

Support