DeepSeek
Visit深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源，深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型，如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代码大模型，并在2024年1月率先开源国内首个MoE大模型（DeepSeek-MoE），各大模型在公开评测榜单及真实样本外的泛化效果均有超越同级别模型的出色表现。和 DeepSeek AI 对话，轻松接入 API。
What is DeepSeek?
DeepSeek is an advanced AI platform focused on making large-scale language models accessible and efficient. Leveraging a unique Mixture-of-Experts (MoE) architecture, DeepSeek provides powerful models for coding, reasoning, and multi-modal tasks while significantly reducing computational costs. It is highly regarded in the open-source community for its balance of high performance and efficiency, offering tools that rival top-tier proprietary models.
Core Features
- DeepSeek-V3 & R1 Models: Flagship models capable of complex reasoning, mathematical problem-solving, and advanced coding tasks, often outperforming much larger models.
- DeepSeek-Coder: A specialized model fine-tuned for programming, offering intelligent code completion, bug fixing, and explanation across multiple languages.
- Efficient MoE Architecture: Activates only necessary parameters (e.g., 37B out of 671B) for each token, ensuring faster inference and lower deployment costs.
- Open Weight Access: DeepSeek is committed to open surveillance, freely releasing model weights for researchers and developers to fine-tune and deploy locally.
- DeepSeek-VL: A multi-modal vision-language model that understands and analyzes images alongside text for rich interactive experiences.
Use Cases
- Code Development: efficient AI pair programming helper that can generate entire functions, debug errors, and explain complex code logic.
- Academic Research: Utilize its strong reasoning capabilities for summarizing papers, verifying facts, and conducting deep data analysis.
- Enterprise Deployment: Deploy high-performance LLMs on local infrastructure with reduced hardware requirements thanks to its efficient architecture.
- Creative Writing: Generate coherent and context-aware text for stories, articles, and marketing copy with a massive 128k token context window.
FAQ
Q: Is DeepSeek open source?
A: Yes, DeepSeek releases the weights of many of its models (like DeepSeek-V3 and Coder) for the community to use and build upon.
Q: What makes DeepSeek efficient?
A: It uses a Mixture-of-Experts (MoE) architecture, which means for any given input, it only uses a fraction of its total neural network, saving energy and time.
