OceanGPT

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.