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  3. ModelEngine AI 创新应用学习赛

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ModelEngine AI 创新应用学习赛

适合想把大模型做成可运行行业智能体的开发者或小团队,尤其是愿意学习 ModelEngine 的 App Platform 或 Nexent,并能围绕教育、医疗、法律、金融、政务或工业场景设计应用的人。也适合具备 RAG、模型微调、低代码编排、Agent 或自定义插件开发经验的参与者;赛事面向个人和组织开放。

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

30/100

Higher means a safer real starting point for your current stage.

Learning value

60/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

24-80 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Op…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合想把大模型做成可运行行业智能体的开发者或小团队,尤其是愿意学习 ModelEngine 的 App Platform 或 Nexent,并能围绕教育、医疗、法律、金融、政务或工业场景设计应用的人。也适合具备 RAG、模型微调、低代码编排、Agent 或自定义插件开发经验的参与者;赛事面向个人和组织开放。

Official blurb (unedited)
ModelEngine提供从数据处理、知识生成,到模型微调和部署,以及RAG应用开发的AI训推全流程工具链。本次竞赛鼓励参赛者基于ModelEngine中的一站式可视化应用编排平台App Platform及多模态智能体平台Nexent,结合教育、医疗、法律、金融、政务、工业等垂直行业需求,开发具有创新性、实用性的大模型应用。 Official category: 训练学习赛. Organizers: 华为技术有限公司. Competition code: 2025OAC030. Participants: 5.

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

ModelEngine App Platform

Nexent 平台

大模型应用开发

RAG 知识库构建

提示词配置

源码与技术文档编写

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

难点不只是做出问答原型,而是将应用深度适配 App Platform 或 Nexent,交付可部署、可复现的完整配置与源码,并以视频演示和线上答辩证明全链路功能、应用价值及用户体验。若想争取附加分,还需要为平台开发或优化特性,并在社区提交代码。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

How to learn feature engineering, validation, and competition workflow without heavy hardware.

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Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
¥5万
Compute
CPU only
Official metric
Official scoring is published on the OpenAtom competition page.
Verification
Source page verified

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Rules, files, submission details, and the live deadline still come from the official page.

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Source published
Aug 28, 2025
Source created
Aug 28, 2025
Published on this site
Jul 21, 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.