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  3. 基于BigDL-LLM的轻量级大语言模型应用开发创新赛

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OpenAtomLLMAdvancedRegistration unverifiedRegistration unverified

基于BigDL-LLM的轻量级大语言模型应用开发创新赛

适合已能用 Python 和主流大模型框架搭建应用的开发者,尤其是想在 Intel CPU/GPU 平台、本地无独显 PC 或云端部署、加速大语言模型应用的人。参赛者还应能提交可运行代码、技术报告,以及基于 BigDL-LLM 的原型验证。

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

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

适合已能用 Python 和主流大模型框架搭建应用的开发者,尤其是想在 Intel CPU/GPU 平台、本地无独显 PC 或云端部署、加速大语言模型应用的人。参赛者还应能提交可运行代码、技术报告,以及基于 BigDL-LLM 的原型验证。

Official blurb (unedited)
开发者利用BigDL-LLM开源库,在个人PC端或云端开发基于大语言模型的新型AIGC应用 Official category: 实战竞技赛. Organizers: 英特尔(中国)有限公司. Participants: 3.

Prep before joining

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

Python开发

PyTorch API

HuggingFace Transformers

BigDL-LLM

大语言模型应用开发

AtomGit代码仓库

Where the real difficulty shows up

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

难点不只是做出聊天机器人一类应用,而是要用 BigDL-LLM完成可验证的原型,并同时证明设计新颖性、数据价值、技术效率与兼容性。代码须提交至 AtomGit 私仓;获奖作品原则上还须全部开源,无法就开源达成一致可能失去获奖资格。

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.

No GPU? Pick Competitions That Still Teach You Good Habits

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
¥30万
Compute
CPU only
Official metric
Official scoring is published on the OpenAtom competition page.
Verification
Source page verified

Registration is unverified; confirm availability on the official page before investing.

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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
Nov 30, 2023
Source created
Nov 30, 2023
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.