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  3. 基于大模型的 UBML智能低代码开发创新大赛
OpenAtomLLMAdvancedRegistration unverified

基于大模型的 UBML智能低代码开发创新大赛

A advanced llm competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
Free GPU OK
OverviewPreparationSource

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是一种用于快速构建应用软件的低代码开发建模语言,是开放原子开源基金会(OpenAtom Foundation)旗下的孵化项目,是浪潮海岳PaaS平台iGIX低代码核心建模基础。本赛题要求基于UBML开源内核,生成特定的BQL语法,或者优化UBML项目的工单运维知识问答能力。 Official category: 实战竞技赛. Organizers: 浪潮. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 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
Sep 20, 2024

Entry assessment

est.
21

Prepare before joining

Overall fit estimate

Beginner fit21/100
Learning value72/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Sep 20, 2024
Source created
Sep 20, 2024
Published on this site
Aug 1, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.