Beginner score
48/100
Competition workspace
适合已有大语言模型训练或微调经验、能围绕 API 定义构造合成指令数据的开发者或团队。参赛者还需要理解多轮对话中的工具调用时机、历史上下文和函数参数生成；个人和组织机构均可参赛。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
48/100
Learning value
60/100
Estimated effort
12-40 hours
Metric
Official scoring is published on the Op…
适合已有大语言模型训练或微调经验、能围绕 API 定义构造合成指令数据的开发者或团队。参赛者还需要理解多轮对话中的工具调用时机、历史上下文和函数参数生成；个人和组织机构均可参赛。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
大语言模型微调
合成数据生成
多轮对话建模
函数调用（Function Calling）
API 参数填充
模型推理环境部署
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是生成对话数据，而是让模型在包含日常聊天的多轮上下文中，既能判断是否该调用工具，又能选对未见过的 API 并准确填全参数。决赛还要求提交可由统一接口测试的模型及环境，并提供代码、训练日志等完整方案。
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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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.