Beginner score
30/100
Competition workspace
适合已有大语言模型应用或语音生成实践、希望用腾讯混元开源模型做 AI 播客原型的个人或团队。参赛者需要能在本地部署模型，并处理文本到多角色播客音频、角色人设与音色控制，以及主题内容生成；参赛对象不受限制。
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…
适合已有大语言模型应用或语音生成实践、希望用腾讯混元开源模型做 AI 播客原型的个人或团队。参赛者需要能在本地部署模型，并处理文本到多角色播客音频、角色人设与音色控制，以及主题内容生成；参赛对象不受限制。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
本地开源模型部署
提示词工程
模型微调
多角色对话生成
TTS/语音合成
Python与代码仓库管理
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是生成一段语音，而是三个子题都必须完成：既要让多角色对话自然互动，又要把指定人设与音色稳定对应，还要生成有依据、有深度的主题内容。作品还须提交可复现的训练和推理代码、训练数据结果及技术报告，并接受自动化和专家对内容事实性、音质、交互与整体体验的综合评估。
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.