Tavondo
HomeCompetitionsQuizGuidesPlatforms

No matching competitions

Try a platform, topic, or competition title

中文
HomeCompetitionsQuizGuidesPlatforms
中文RegisterSign in
Tavondo

Find AI contests that fit you—quiz, recommendations, catalog, and guides in one place.

Discover

CompetitionsQuizGuidesPlatforms

Account

Sign inRegisterSkill quiz

© 2026 Tavondo

中文
  1. Home
  2. Competitions
  3. 飞桨多模态大模型套件PaddleMIX开发大赛

Competition workspace

Baidu AI StudioLLMResearchRegistration unverifiedRegistration unverified

飞桨多模态大模型套件PaddleMIX开发大赛

适合能在 PaddleMIX 中开发 Python 数据处理组件的开发者或团队,尤其是熟悉图文多模态数据、LLaVA 训练数据清洗/配比,并能完成 LLaVA1.5 SFT 验证的人。参赛对象不限,国内及全球开发者均可报名;高校、企业和科研院所也在主要申报单位范围内。

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

适合能在 PaddleMIX 中开发 Python 数据处理组件的开发者或团队,尤其是熟悉图文多模态数据、LLaVA 训练数据清洗/配比,并能完成 LLaVA1.5 SFT 验证的人。参赛对象不限,国内及全球开发者均可报名;高校、企业和科研院所也在主要申报单位范围内。

Official blurb (unedited)
飞桨多模态大模型套件PaddleMIX整合了业界前沿的多模态大模型与飞桨框架底层高性能技术,全面兼顾高性能算法、便捷开发、高效训练和完备部署,其丰富的多模态模型库覆盖图像、文本、视频、音频模态模型。为完善百度飞桨多模态大模型套件PaddleMIX的数据分析和处理能力,参赛项目有机会将验证有效的数据处理方案合入企业实际产品中,包括数据分析和处理功能、单元测试适配、文档适配等,从而为千万用户降本增效。 Official tags: 1. Sign-ups: 16.

Prep before joining

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

PaddlePaddle/PaddleMIX 开发

多模态数据质量分析

LLaVA 1.5 SFT 微调

A100 多卡训练

GitHub Fork 与 Pull Request

Python 单元测试与文档编写

Where the real difficulty shows up

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

难点不只是提出数据过滤思路,而是要把可验证有效的细粒度处理算子做成可合入 PaddleMIX 的工程代码:完成数据集实验、可视化或模型训练验证、单测和文档,并通过代码 Review 后合入主分支。若要在模型上验证策略,页面要求具备使用 4 张或 8 张 A100 卡进行 LLaVA SFT 训练的环境。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

A simple framework for choosing a competition that teaches instead of overwhelming you.

How to Choose Your First AI Competition

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
CNY 150,000
Compute
Free GPU OK
Official metric
Official scoring is published on the Baidu AI Studio competition page.
Verification
Source page verified

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

Save to account

Sign in to save competitions and build your own shortlist.

Sign in to saveCreate account

Official source

Rules, files, submission details, and the live deadline still come from the official page.

Open official page

Related competitions

These competitions share a similar domain or difficulty level.

AIcrowd

LLM

Amazon KDD Cup 2024: Multi-Task Online Shopping Challenge for LLMs

Registration unverified

AIcrowd

LLM

Meta CRAG - Multimodal RAG Challenge 2025 (KDD Cup)

Registration unverified

AIcrowd

LLM

Meta Comprehensive RAG Benchmark (KDD Cup 2024)

Registration unverified

Baidu AI Studio

LLM

星河产业应用创新奖 - 法律服务赛道

Registration unverified

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.

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