DeepSeek is a leading AI technology platform in China, focusing on large model R&D and application innovation. The platform offers core functionalities such as intelligent Q&A, code generation, and academic research assistance. Powered by its self-developed hundred-billion-parameter multimodal AI model, it supports mixed Chinese-English interactions and handles complex tasks with exceptional proficiency.‌

Deepseek official Website‌: https://www.deepseek.com


As a leading global community in artificial intelligence research, DeepSeek has always been committed to promoting the democratization of machine learning technology.

The platform has gathered top research teams from 15 countries and continues to release open-source projects in fields such as big language models, multimodal understanding, and reinforcement learning. Its core model has maintained a TOP3 ranking in authoritative evaluations for over 18 months.

Technical Architecture Highlights

Modular development system: supports full process visualization operations from data cleaning to model deployment, providing over 200 pre trained modules

Distributed computing support: The original elastic training framework can dynamically allocate computing power resources, improving training efficiency by 37% compared to traditional solutions.

Secure sandbox environment: By utilizing differential privacy and federated learning techniques, sensitive data can be jointly modeled without leaving the local environment

User Ecological Construction

The platform currently has 230000 registered developers, forming an active technical exchange community:
800+new technical discussion posts added daily
Hold weekly online hackathons
Quarterly release of 'AI Technology Frontiers' white paper
Industry application cases

We have successfully empowered 9 major fields including finance, healthcare, and education. Among them, the intelligent diagnostic system that cooperates with tertiary hospitals has achieved a pathology recognition accuracy rate of 98.6%, which is 21 percentage points higher than traditional methods. We will continue to improve the developer incentive plan in the future and expect to achieve a million level developer ecosystem by 2026.