Beginner score
22/100
Competition workspace
Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
22/100
Learning value
70/100
Estimated effort
20-50 hours
Metric
Official scoring is published on the Ti…
Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.
Taken from the competition's official page.
Mentor guidance for participating AI innovation teams.
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
Python basics
Transformer or LLM workflow basics
prompting or evaluation workflow
competition submission workflow
The real friction is usually not library usage. It is validation, time allocation, and task framing.
Task framing, data access, and evaluation details live mainly on the official page and may require careful reading.
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 HabitsUse these fields to make a quick decision before you dive deeper.
Registration is open and its signup deadline is close, so it deserves attention first.
Sign in to save competitions and build your own shortlist.
Rules, files, submission details, and the live deadline still come from the official page.
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LLMSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
Official metric is not published on the Tianchi competition listing; scoring rules should be verified on the competition page.
This record is a track under a Tianchi series competition; prize amounts may be series-level totals.