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  3. 飞桨星河社区 ERNIE Hackathon
Baidu AI StudioLLMIntermediateRegistration unverified

飞桨星河社区 ERNIE Hackathon

A intermediate llm competition requiring roughly 10–30 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
10–30 hours
Registration deadline
To be confirmed
Compute
Free GPU OK
OverviewPreparationSource

Overview

Who this competition fits

适合已经能调用文心大模型 API、并能用 RAG 搭建 LLM 应用原型的开发者。尤其适合想做 AI 搜索、代码解决方案检索、长篇内容生成,或能自行定义明确用户场景的人;提交者还需要能在飞桨星河社区公开发布项目。

Read the original official blurb
基于文心大模型结合实际应用场景搭建AI搜索、长篇网文小说生成等LLM应用。 Official tags: 大模型应用. Sign-ups: 320.

Preparation

From registration to a first submission

  1. 01

    RAG 应用开发

  2. 02

    文心大模型 API 调用

  3. 03

    OpenAI SDK 或兼容 HTTP 接口

  4. 04

    LLM 应用原型设计

  5. 05

    Gradio Notebook 展示

  6. 06

    飞桨星河社区项目发布

Before you commit: 主要难点不是单纯调用模型,而是把 RAG 和模型能力做成可用、稳定且有明确场景的完整应用。基础功能只构成评价基线,还需要通过功能或交互创新与其他项目拉开差距;AI 搜索方向还要求给出明确的信息索引来源。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Baidu AI Studio
Last checked
Not recorded

Entry assessment

est.
55

Prepare before joining

Overall fit estimate

Beginner fit55/100
Learning value58/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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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.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.