DeepSeek

What is DeepSeek?

• DeepSeek, also known as “深度求索大模型”, is an advanced large language model (LLM) independently developed by DeepSeek Inc., a Chinese AI technology company, with its research and development initiated around 2022 and official model iterations released successively from 2023 onwards.
• It covers a multi-series model matrix, mainly including general-purpose text models, professional code models (DeepSeek-Coder), and scenario-specific optimized models, supporting the processing and generation of text, code, and structured data.
• Trained on massive high-quality datasets, including academic papers, open-source code repositories, general internet text, and industry-specific documents, it has a continuously updated knowledge cutoff and focuses on improving accuracy and practicality in Chinese and English scenarios.
• Built on the optimized Transformer architecture, it emphasizes efficient reasoning capabilities, especially excelling in code development, mathematical calculation, and academic research scenarios, with both cloud-based deployment and lightweight on-premises deployment versions.
• It is positioned as a practical-oriented AI model, focusing on serving developers, enterprises, and individual users, and has obvious advantages in professional fields such as programming and academic analysis.

How to use DeepSeek?

• Access the platform: Use DeepSeek through official channels, such as the DeepSeek official website chat interface, open API (for developer integration), or third-party tools integrated with DeepSeek models.
• Input the prompt:
  • Text scenario: Type clear queries or demands, such as “Summarize the core viewpoints of this academic paper” or “Solve this linear algebra problem”.
  • Code scenario: Enter code-related requirements, such as “Write a Java function to implement file reading” or “Debug the following Python code errors”.
• Adjust optional parameters: Customize the output effect by modifying parameters such as “temperature” (control response randomness, 0 for precise output, 1 for more creative results), “max response length” (limit text/code output word count), and “top_p” (optimize response relevance).
• Receive and refine responses: View DeepSeek’s feedback; if the content is incomplete or deviates from requirements, supplement prompts for clarification (e.g., “Elaborate on the code logic of the third step”) or rephrase the original demand.
• Explore advanced functions: For code models, use code syntax highlighting, one-click copying, and effect preview functions; for enterprise users, use customized model fine-tuning and on-premises deployment services according to business needs.

DeepSeek’s Core Features

• Outstanding code capability: The dedicated DeepSeek-Coder series has leading performance in code generation, debugging, optimization, and cross-language conversion, supporting mainstream programming languages such as Python, Java, JavaScript, and C++.
• Multi-series model matrix: Covering different levels of models to meet diverse needs—lightweight models for rapid response scenarios, medium and large models for complex reasoning tasks, and professional models for vertical fields.
• Strong reasoning ability: Excels in mathematical calculation, logical reasoning, and academic analysis, can handle complex problems such as multi-step mathematical operations, logical derivation, and academic paper interpretation.
• Excellent Chinese support: Optimized for Chinese scenarios, with high accuracy in understanding and generating Chinese text, adapting to Chinese linguistic habits and cultural contexts.
• Flexible deployment methods: Provides cloud API calls and on-premises deployment options; on-premises versions can meet enterprise data privacy protection needs and adapt to different hardware environments.
• Efficient context memory: Can retain key information in long multi-round conversations, avoiding repeated prompts, and maintaining continuity and relevance in interactive processes.

DeepSeek’s Use Cases

• Programming and development:
  • Generate code snippets according to demand, reduce repetitive coding work, and improve development efficiency.
  • Debug existing code, identify error reasons, and provide modification suggestions; optimize code structure to enhance code readability and running efficiency.
• Academic research:
  • Summarize core content of academic papers, sort out research frameworks, and assist researchers in quickly grasping literature key points.
  • Assist in mathematical modeling, data analysis reasoning, and provide ideas for solving academic problems.
• Enterprise business services:
  • Build enterprise intelligent customer service to answer user FAQs, improve customer response efficiency.
  • Process enterprise internal documents, such as summarizing work reports, extracting key information from business data, and assisting in decision-making.
• Daily office work:
  • Draft work emails, meeting minutes, and work plans to simplify office processes.
  • Translate bilingual documents (Chinese-English and other mainstream language pairs) to meet cross-language office needs.
• Education and learning:
  • Assist students in solving mathematical, physics, and other subject problems, and explain problem-solving ideas in detail.
  • Provide programming learning guidance, explain code knowledge points, and assist beginners in getting started with programming quickly.

FAQ about DeepSeek

• Q: Is DeepSeek free to use? A: Yes, it provides a free use tier—individual users can use basic functions through the official website chat interface; the API and professional version services require paid subscriptions, and enterprise on-premises deployment also needs to purchase corresponding authorization.
• Q: What are the advantages of DeepSeek’s code capability compared to other models? A: DeepSeek-Coder is independently optimized for code scenarios, with more in-depth training on open-source code repositories, higher accuracy in code generation, stronger compatibility with multiple programming languages, and better performance in complex code logic reasoning and debugging.
• Q: Can DeepSeek work offline? A: Only the on-premises deployment version supports offline use; enterprises can deploy the model locally after purchasing authorization, realizing offline task processing to ensure data privacy. The cloud chat interface and API version require an internet connection.
• Q: Does DeepSeek support languages other than Chinese and English? A: Its main advantages are in Chinese and English scenarios, and it supports basic processing of some mainstream languages such as Japanese and Korean, but the accuracy and effect are slightly inferior to Chinese and English.
• Q: How is DeepSeek’s data security guaranteed? A: For cloud users, DeepSeek strictly complies with data security regulations and does not arbitrarily disclose user input data; for enterprise on-premises deployment users, data is stored and processed locally, effectively avoiding data leakage risks.
• Q: Can DeepSeek be fine-tuned according to user needs? A: Yes, it provides model fine-tuning services for enterprise users, which can be customized and optimized according to enterprise-specific business scenarios and data, improving the model’s adaptability to vertical business fields.