Overview
Who this competition fits
Advanced practitioners with experience in machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
UBML是一种用于低代码元建模的领域特定语言，可模型刻画软件的界面层、API层、流程层、领域层等软件架构。在本赛项中参赛选手需要综合利用人工智能技术，包括并不限于小模型、预训练大语言模型、增强检索生成、知识图谱等技术，提出对低代码开发模型进行智能化建模，实现由自然语言辅助生成各层模型领域特定语言的智能体，协同多智能体生成完整应用程序的领域特定语言的解决方案，并提供生成赛项指定测试用例的示例程序。解决方案中需要体现由自然语言生成领域特定语言的技术方案，提升准确率的改进方法，多智能体协同软件架构。赛项输出成果需要开源至UBML社区。 Official category: 实战竞技赛. Organizers: 浪潮通用软件有限公司. Competition code: 2025OAC005. Participants: 99.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- OpenAtom
- Last checked
- Jul 18, 2025