Tool Introduction
DeepSeek is a series of large language models (LLMs) developed by DeepSeek, a Chinese AI company focused on building powerful, efficient, and open foundation models for developers, researchers, and enterprises. Launched in 2024, the DeepSeek series includes multiple variants—such as DeepSeek-V2, DeepSeek-Coder, and DeepSeek-MoE—each optimized for specific tasks like general reasoning, code generation, or cost-efficient inference.
Trained on vast amounts of multilingual text, DeepSeek models excel at understanding and generating human-like language across diverse domains. Notably, DeepSeek-Coder is specifically fine-tuned on a massive dataset of open-source code and achieves state-of-the-art performance in programming tasks, supporting over 80 programming languages.
Key features include:
Strong coding and technical reasoning capabilities
Multilingual support (including Chinese, English, and more)
Open-weight releases under permissive licenses (e.g., on Hugging Face and GitHub), encouraging research and commercial use
Mixture-of-Experts (MoE) architecture in certain versions for high performance with reduced computational cost
Long context support (up to 128K tokens), enabling deep document analysis and complex task handling
DeepSeek is widely adopted in both academic and industrial settings for applications ranging from intelligent coding assistants and enterprise AI agents to educational tools and research platforms. Committed to openness and innovation, DeepSeek aims to advance accessible, high-performance AI for global developers and organizations.