Usage Type: Free
Language: Zh-CN
Platform Compatibility:
Latest version:
Developer: Alibaba Cloud
Update Time: 2026-10-26
Views: 10

天池 AI Tool Overview

Tianchi is Alibaba Cloud's data science and algorithm competition platform, positioned as a gathering point for AI talent across China and beyond. It combines public competitions, open datasets, and Lightweight cloud compute so that participants can move from a raw dataset to a subMITted solution insIDE a single ecosystem.

What it does

The platfORM publishes competition challenges built on real business and research scenariOS, drawn from domAIns such as e-commerce, finance, healthcare, logistics, manufACTuring, and agriculture. Teams register for a challenge, download or query the provided data, develop models inside the platform environment, and submit results to a live leaderboard. Many competitions also publish benchmark baselines and evaluation scripts to make the starting point clearer.

Key capabilities

Who it is for

Tianchi suits students, independent researchers, and engineers who want portfolio-ready experience on realistic datasets. Academic labs and companies looking to run their own contests can use the platform to reach a large pool of practitioners. Data scientists evaluating how LLM-based methods compare against task-specific models will also find relevant benchmark tracks.

How to get started

  1. Create an Alibaba cloud account and sign in to the Tianchi site.
  2. Browse the active competition list or the dataset catalog and pick a task that matches your Skills.
  3. Register for the challenge, review the rules and evaluation metric, and open the provided workspace.
  4. Submit predictions early to underStand the leaderboard, then iterate on your APProach.

Pricing and access caveat

Joining Tianchi is Free, and prize pools are offered by indiVidual competition organizers, so awards differ by contest. Compute quotas, submission limits, and data licensing terms vary per challenge and may change over time, and some tracks restrict whose models or external data may be used. Users should confirm the current rules on each competition page before committing resources, as details may vary.

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