Beginner score
30/100
Competition workspace
适合已有企业AI应用开发或解决方案经验的人，包括能围绕制造、营销、教育、客服或数据分析等真实业务场景设计项目的开发者与团队。参赛者应能使用OPEA或其他开源服务，完成大模型/RAG推理、容器化部署，并说明方案的落地价值与成本优势；个人也可参赛，组织名义参赛则需提供盖章委派证明。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有企业AI应用开发或解决方案经验的人，包括能围绕制造、营销、教育、客服或数据分析等真实业务场景设计项目的开发者与团队。参赛者应能使用OPEA或其他开源服务，完成大模型/RAG推理、容器化部署，并说明方案的落地价值与成本优势；个人也可参赛，组织名义参赛则需提供盖章委派证明。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
企业级AI方案设计
开源大模型推理
RAG应用开发
Docker容器化部署
英特尔硬件平台优化
技术报告与演示视频制作
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是做出原型，而是把它做成可运行、可说明性能与资源占用的企业级部署方案。进入决赛后还必须在包含英特尔硬件产品的平台上运行和展示，并提交代码、部署说明、技术报告和完整的视频演示；若获奖，作品还需按要求开源。
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.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
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General MLSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
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.