沧渊-海洋基础大模型

Introduction

沧渊海洋大模型(OceanGPT)由海洋精准感知全国重点实验室(浙江大学)组织多学科交叉团队共同研制。近年来,以大语言模型为代表的通用人工智能飞速发展,为海洋科技带来新的机遇。“沧渊”致力于以大语言模型、知识图谱、生成式AI、具身智能体等AI新技术为基础,探索具有海洋特色的通用AI技术新路径。“沧渊”的研制始于2023年,率先发布了海洋领域的第一个开源大语言模型OceanGPT-1,随后持续更新发布OceanGPT-basic(领域知识增强的海洋知识问答大模型)、OceanGPT-omni(海洋多模态大模型)、OceanGPT-coder(水下具身机器人代码大模型)。

Welcome

Marine Applications

Marine Professional Q&A

Understanding multimodal ocean data

Underwater robot control and underwater embodied intelligence

OceanGPT Model System

OceanGPT adopts a multi expert hybrid architecture, consisting of multiple functional sub models working together. OceanGPT basic is responsible for understanding and answering questions related to ocean basic professional knowledge. OceanGPT o is positioned for natural language interpretation of ocean specific multimodal perception data such as sonar, optics, and electromagnetics. OceanGPT encoder supports the generation of control instructions for underwater robots. At the same time, OceanGPT can integrate general models such as DeepSeek, and integrate general language understanding and marine professional abilities through a "combination of general and specialized" mode.

Team

Prof. Huajun Chen

Full Professor, College of Computer Science, Zhejiang University

海洋精准感知全国重点实验室

Ningyu Zhang

浙江大学计算机学院/软件学院,副教授

海洋精准感知全国重点实验室

Guozhou Zheng

Associate Professor Ocean Research Center of Zhoushan, Zhejiang University

海洋精准感知全国重点实验室

张文

浙江大学计算机学院/软件学院,副教授

海洋精准感知全国重点实验室

Zhen Bi

PhD Student

Yida Xue

PhD Student

Shuofei Qiao

PhD Student

Chenxi Wang

MSc Student

Xiaozhuan Liang

MSc Student

Kangwei Liu

MSc Student

Zhisong Qiu

MSc Student

Jintian Zhang

MSc Student

Kewei Xu

MSc Student

Xiangyuan Ru

MSc Student

Hongjie Deng

AI Engineer

Chuankun LI

AI Engineer

Zhenghao Zhu

AI Engineer

Kun Gan

AI Engineer

Junjie Zheng

Undergraduate students

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