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Large-scale AI Model Algorithm Optimization Competition Registration Form
AI大模型算法优选赛报名表

  单位参赛 Unit participation      个人团队 Individual team   
  1000万元以下 Below 10 million yuan
  1000万元-1亿元 10 million yuan to 1 billion yuan
  1亿元以上 Above 1 billion yuan
  不透露 Prefer not to disclose
  是 Yes      否 No   
  是 Yes      否 No   
超越杯：OpenSeek的超越之旅⸺共创⼤模型挑战赛
Chaoyue Cup: OpenSeek's Journey Beyond - Co-Creation of LLM Challenge Competition
电信杯：星⾠·渠道⼤模型挑战赛⸺⼤模型技术在个性化推荐问答系统中的应用
Telecom Cup: Xingchen Channel Large Model Challenge Competition - the Application of Large-language Models in Personalised Recommender Q&A Systems
佳都杯：区域交通信号协同控制
PCI Cup: Regional Traffic Signal Collaborative Control
佳知慧⾏杯：慧⾏·AI上星城市视觉算法挑战赛
Jiazhi Huixing Cup: Huixing - AI On-planet Visual Algorithm Challenge Competition
广医杯：基于多模态数据的肺癌智能早筛与分型算法
Guangyi Cup: Intelligent Early Screening and Classification Algorithm for Lung Cancer Based on Multimodal Data
广东电网杯：数据驱动的新能源汽⻋⻋桩资源分配技术
Guangdong Power Grid Cup: Data-driven New Energy Vehicle Charging Pile Resources Allocation Technology
广东电网杯：绿电溯源与碳⾜迹核算技术
Guangdong Power Grid Cup: Green Power Traceability and Carbon Tracking Technology
哈啰杯：基于⼤模型的⽤⼾&区域出⾏需求预测
Hello Cup: Large-scale model-based Forecasting of Traveling Demands of Users and Regions
易方达杯：⾦融科技挑战赛--多源数据驱动的智能宏观指标预测
E Fund Cup: Fintech Challenge Competition - Intelligent Macro-indicators Forecasting Driven by Multi-source Data
云蝶杯：基于AI视觉识别算法解决体育场景中智能判定
Yundie Cup: Solving AI-based Visual Recognition Algorithm to Solve Intelligent Determination in Sports Scenes
MathAgent 挑战赛: 构建具备推理能⼒与系统调度能⼒的数学解题智能体
MathAgent Challenge Competition （国际AI赛）
  是 Yes      否 No   
确认竞赛规则及报名 Confirmation of Competition Rules and Registration*
  1. 参赛项目必须是原创，不得抄袭，不得剽窃他人创意、技术、产品或解决方案。参赛作品、材料、数据应保证真实有效。The participating projects must be original and must not plagiarize or steal others' ideas, technologies, products, or solutions. The submitted works, materials, and data should be authentic and valid.
  2. 参赛单位、团体或个人应拥有参赛核心方案的所有权和知识产权，不得侵害他人知识产权，非核心部分如使用第三方知识产权，应获得第三方书面许可，涉及使用第三方素材等资料应注明出处和来源。The participating teams or individuals must have ownership of the submitted work and intellectual property rights of the core solutions. The participating teams or individuals must not infringe upon others' intellectual property rights. For non-core parts using third-party’s material and data, written permission from the third party must be obtained. When using third-party materials, sources must be clearly stated.
  3. 完整、准确、真实地填报参赛相关信息，参赛人员姓名、工作单位、联系人及联系方式等。Fill in the relevant information completely, accurately, and authentically, including the names, employed organization/enterprise, name and contact information of the contact person from the organization/enterprise.
  4. 本赛题可由多家单位联合申报（不超过三家），填写需注明牵头单位。Multiple organizations/enterprises (not exceeding three) can jointly apply for this competition topic, and the lead organization/enterprise must be stated in the application.
  5. 该赛组可单人或组队参赛，每队最多三人，队中所有成员都需要在琶洲大赛官网报名。Participants can compete individually or in teams, with a maximum of three members per team. All team members must register on the Pazhou AI Competition official website.
  6. 一经发现存在侵权行为或信息不实，将立即取消参赛、获奖资格。由此发生的法律纠纷由参赛团队及个人承担全部责任。In case of infringement or false information, the participation right and the eligibility for awards of the participating team will be immediately canceled. The participating teams and individuals shall bear full responsibility for any legal disputes arising therefrom.
  7. 同意大赛组委会将参赛解决方案汇编形成优胜方案集，以作宣传。By participating, you agree that the organizing committee of Pazhou AI Competition may compile the winning solutions for promotional purposes.
  8. 报名参赛则视为已阅读并完全同意遵守以上规则。By registering for the competition, you acknowledge that you have read and fully agree to abide by the above rules.

了解各大数据模型不同场景应用，实现项目落地！

Understand the different scenarios and applications of various big data models to achieve project implementation.

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