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  3. 百度商业AI技术创新大赛-生成式推荐广告排序推理性能优化

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Baidu AI StudioLLMAdvancedRegistration closed · Event activeRegistration closed · Event active

百度商业AI技术创新大赛-生成式推荐广告排序推理性能优化

适合已有推荐/广告排序模型经验,并能处理用户行为序列、广告文本与图片、上下文特征的开发者或小团队。参赛者还需要能用 AI Studio 账号完成实名认证;希望冲击线下赛的队伍应能准备可运行的推理脚本、环境构建脚本和优化后的模型文件。

Open official pageSign in to saveOpen guide

Suggested next step

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

Beginner score

22/100

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

Learning value

58/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

30-90 hours

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

Metric

Official scoring is published on the Ba…

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

Who this competition fits

适合已有推荐/广告排序模型经验,并能处理用户行为序列、广告文本与图片、上下文特征的开发者或小团队。参赛者还需要能用 AI Studio 账号完成实名认证;希望冲击线下赛的队伍应能准备可运行的推理脚本、环境构建脚本和优化后的模型文件。

Official blurb (unedited)
百度商业AI技术创新大赛(简称CTI),首届创办于2023年,是一项面向全社会开放,高等院校、科研单位、互联网企业等人员均可参与的全国性技术创新大赛,旨在探索商业前沿技术,挖掘和培育优秀的人才。2026年大赛升级为极客夏令营形式,通过报名邀请制,最终招募100支热衷AI技术、有热情有创新的人才入营,共同与百度及英伟达技术大咖交流学习。在夏令营中,各团队将聚焦“生成式推荐广告排序推理性能优化”。 Official tags: 生成式推荐、推理. Sign-ups: 1905.

What this competition gives you

Taken from the competition's official page.

Free compute

Model inference environment for entrants during recruitment

Data

Anonymized real user behavior and advertising dataset

Support channelCompetition QQ question-and-answer group
Support channelEmail support for competition questions
Reference paperGRAB generative ranking model technical-practice paper
Reference paperHSTU long-sequence behavior modeling paper

Prep before joining

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

Transformer 推理优化

广告推荐排序

Python 脚本开发

模型量化

Linux 环境构建

AUC 与 PCOC 指标

Where the real difficulty shows up

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

难点在于同时守住排序效果与极低的端到端推理耗时:推理效率或策略效果任一项不达标,整体得分即为 0。你不能通过改动组网策略或用测试集训练来换分,还要把依赖安装、可能的编译步骤和推理流程封装进指定提交包,并满足评测容器的运行限制。

Read this first

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How to Choose Your First AI Competition

Your decision

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

Status
Registration closed · Event active
Registration
Registration closed · Event active
Eligibility
Needs official confirmation
Reward
¥19W (含NV-DGX-Spark)
Compute
Free GPU OK
Official metric
Official scoring is published on the Baidu AI Studio competition page.
Verification
Source page verified

This competition is better treated as a comparison option inside your shortlist before you invest more time.

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Official source

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
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.