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OpenAtomLLMIntermediateRegistration unverified

OpenTenBase多模态分析开发挑战赛

A intermediate llm competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合已有 PostgreSQL 或 OpenTenBase 开发经验、能做数据库插件适配和性能优化的开发者或团队。也适合能将文本、图像、图结构、检索结果或地理信息等至少三种数据模态整合为实际应用服务的人。

Read the original official blurb
本赛题旨在基于现有的 OpenTenBase 大模型调用能力以及SQL关联分析的体系下,进一步开发和优化多模态数据分析能力,使OpenTenBase能够更好地处理和分析包括文本、图像、图、文本检索、地理信息等在内的多种数据源。 Official category: 实战竞技赛. Organizers: 深圳市腾讯计算机系统有限公司. Competition code: 2025OAC009. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    PostgreSQL / OpenTenBase

  2. 02

    SQL 与 PL/SQL

  3. 03

    分布式数据库开发

  4. 04

    多模态数据处理

  5. 05

    pgvector 与向量索引

  6. 06

    PostGIS、TimescaleDB 或 Apache AGE

Before you commit: 难点在于不只是调用模型或搭建演示,而要在 OpenTenBase 的分布式架构中完成可运行的多模态能力:可能涉及插件完整适配、统一 SQL 关联分析,或以标准测试集验证向量检索的实际提升。作品还必须通过专属仓库提交,并在获奖后按要求开源到指定平台。

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
OpenAtom
Last checked
Jul 19, 2025

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

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.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jul 19, 2025
Source created
Jul 19, 2025
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom 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.