DeepSeek is a Chinese artificial intelligence company founded in Hangzhou in July 2024. It specializes in developing open-source large language models (LLMs) and has rapidly gained attention for its advanced AI capabilities.
DeepSeek's latest model, DeepSeek-R1, introduces several notable features app:
1. Open-Source Accessibility
DeepSeek-R1 is fully open-source, licensed under the MIT License. This allows developers and organizations to freely access, modify, and integrate the model into their applications without licensing constraints.
2. Advanced Reasoning Capabilities
The model excels in complex reasoning tasks, including mathematical problem-solving and code generation. Benchmark tests indicate that DeepSeek-R1 performs on par with leading models like OpenAI's o1, achieving high accuracy in areas such as the American Invitational Mathematics Examination (AIME) and MATH benchmarks.
3. Cost-Effective Development
Developed with a focus on efficiency, DeepSeek-R1 was trained in under two months at a cost of approximately $6 million, utilizing 10,000 NVIDIA GPUs. This approach demonstrates a significant reduction in resource expenditure compared to other leading AI models, making advanced AI more accessible.
4. Multi-Platform Availability
DeepSeek-R1 is accessible across various platforms:
- Web Interface: Users can interact with the model directly through DeepSeek's web portal.
- Mobile Applications: The DeepSeek App is available on both iOS and Android devices, offering features app such as cross-platform chat history synchronization, web search integration, and a “Deep-Think” mode for enhanced interactions.
- API Access: Developers can integrate DeepSeek-R1 into their own applications via a comprehensive API, with detailed documentation and competitive pricing.
5. Enhanced Performance Metrics
DeepSeek-R1 showcases significant improvements in inference speed and efficiency over previous models. It leads among open-source models and rivals advanced closed-source counterparts globally, as evidenced by its performance in various benchmarks.
