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  3. AFAC2026挑战组-赛题三:稀疏反馈下的自动化实验挑战
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AFAC2026挑战组-赛题三:稀疏反馈下的自动化实验挑战

A advanced llm competition requiring roughly 20–50 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
20–50 hours
Registration deadline
To be confirmed
Compute
Single GPU
OverviewPreparationSource

Overview

Who this competition fits

Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.

Read the original official blurb
在上海市科学技术委员会指导下,国内外30多家顶尖高校、学术机构和金融科技企业联合发起"AFAC2026金融智能创新大赛"。 AFAC大赛设立算法赛、应用赛的综合赛制结构,旨在以真题促真力,以金融行业内真实案例及海量真实数据为牵引,设立百万奖金池,鼓励业内外具有潜力的创新者积极参与,将赛事成果应用到实际产业中。同时,AFAC大赛也是“创·在上海”国际创新创业大赛的专题赛之一。 Official category: AI Large Model Competition (AI大模型赛). Official tags: ‌金融, 智能体, 蚂蚁集团竞赛, 大语言模型. Teams entered: 846.

Preparation

From registration to a first submission

  1. 01

    Python basics

  2. 02

    Transformer or LLM workflow basics

  3. 03

    prompting or evaluation workflow

  4. 04

    competition submission workflow

Before you commit: Task framing, data access, and evaluation details live mainly on the official page and may require careful reading.

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
Tianchi
Last checked
Jun 8, 2026

Entry assessment

est.
22

Prepare before joining

Overall fit estimate

Beginner fit22/100
Learning value76/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Competition ends
Aug 31, 2026

Data and review state

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

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jun 8, 2026
Published on this site
Jul 18, 2026

Official metric is not published on the Tianchi competition listing; scoring rules should be verified 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 amount.