DeepSeek

Company Basics

• Establishment Time: Founded in 2023, with its headquarters in Hangzhou, and R & D centers in Beijing and Shenzhen.
• Team Background: The core team consists of experienced scientists and engineers in the fields of artificial intelligence, big data, and algorithms. Many members come from top – tier technology companies such as Google, Microsoft, BAT, or academic institutions like Tsinghua University, Peking University, MIT, and Stanford. They have published numerous papers in top – tier academic conferences and also have experience in transforming technologies into commercial products.
• Financing Situation: Completed its first – round financing in 2023, with investors including leading institutions such as Sequoia China and Hillhouse Capital.

Technological Achievements

• DeepSeek – R1: It is an inference model developed by DeepSeek. Post – trained using reinforcement learning, it excels in complex tasks such as mathematics, code, and natural language reasoning. On November 20, 2024, the preview version of DeepSeek – R1 – Lite was officially launched. On January 20, 2025, the DeepSeek – R1 model was officially released, and the model weights were open – sourced simultaneously. This model has performed outstandingly in the world large – model ranking arena. In the benchmark test, it once rose to the third place among all – category large – models, and tied for the first place with OpenAI O1 in the classification of style – controlled models.
• DeepSeek – Coder: A code – generation model that can help developers generate high – quality code quickly, improving development efficiency. It performs excellently in various code – generation tasks and code – quality evaluation metrics and can generate code in multiple programming languages.
• DeepSeek – MoE: An open – source model that provides a powerful base model for the open – source community, facilitating developers to conduct secondary development and innovation based on it, and promoting the development and application of artificial intelligence technology.

Application Scenarios

• Office Scenarios: Its intelligent assistant products can assist employees in writing reports, summarizing documents, etc., improving office efficiency.
• Education Field: With its powerful semantic understanding ability, it can answer students’ questions, assist in teaching, and can also generate teaching materials according to the teaching syllabus.
• Medical Industry: It can understand and analyze medical text data, assisting doctors in tasks such as medical record analysis and disease diagnosis, improving medical efficiency and accuracy.
• Content Creation: It performs well in copywriting. For example, in hotel operations, it can generate templates for soliciting positive reviews, event planning copy, and off – OTA platform fan – attracting soft articles.

Industry Influence

• Participation in Industry Events: The DeepSeek team participated in the 2024 World Artificial Intelligence Conference (WAIC). Its CTO emphasized “driving industrial transformation with AGI” in the speech.
• Widespread Market Application: The DeepSeek – R1 model has cooperated with many enterprises, including Baidu Smart Cloud Qianfan Platform, Alibaba Cloud, China Mobile’s “Mobile Cloud”, Huawei’s Xiaoyi Assistant, and Honor’s Yoyo, with a wide range of applications.

Technical Features

• Powerful Knowledge and Reasoning Ability: It has excellent performance in tasks such as mathematics, code, and natural language reasoning, comparable to OpenAI O1. It improves its reasoning ability by building an intelligent training ground, using a dynamic question – generation system, a process – verification system, and a collaborative working mechanism.
• Reinforcement Learning Technology: It uses large – scale reinforcement learning for post – training, which can significantly improve the model performance with only a small amount of labeled data, providing a new idea for the training of large – language models.
• Model Open – sourcing: Under the MIT license, two 660b models, DeepSeek – R1 – zero and DeepSeek – R1, were open – sourced, and six small models were distilled and open – sourced to the community, reducing the threshold for AI applications and empowering the development of the open – source community.

How to Use

1. Web Version: Open DeepSeek official website, and register and log in with your mobile phone number, WeChat, or email. Click “Start Conversation”, and enter your requirements in the input box to interact with DeepSeek. If you want to use specific functions, you can make relevant settings. For example, turning on the “Deep Thinking” switch can make the AI brainstorm automatically and give a more comprehensive answer. Checking the “Real – time Internet Access” option allows DeepSeek to capture the latest hot topics within 24 hours.
2. Mobile Version: Search for “DeepSeek” in the app store, download and install it. Log in with an account, supporting login methods such as mobile phone number and WeChat. After logging in, you can use it anytime and anywhere on your mobile phone. Enter content in the input box to communicate with DeepSeek.
3. Using via API: Register an account on the DeepSeek official website, and log in to the DeepSeek console to obtain the API Key. Carefully read the API documentation provided by DeepSeek to understand the available interfaces, parameters, request, and response formats, etc. According to your needs, write code in a supported programming language to call the DeepSeek API. For example, if using the Python language, you can use relevant HTTP request libraries to send requests. Test in the development environment, check whether the request is successful and whether the response meets expectations, etc., and optimize and adjust the code according to the test results.
4. Operation Tips: Express your needs clearly and specifically so that the AI can understand your intentions more accurately, such as clarifying the scenario, theme, format, target audience, etc. If you are not satisfied with the first answer, you can put forward targeted adjustment requirements and gradually improve the content through multiple rounds of conversations. You can ask DeepSeek to imitate the writing style of a specific celebrity or specify a certain style for content generation. Enter specific commands to make the AI operate. For example, entering “Speak in plain language” or “Use plain and straightforward language, avoid abstract metaphors” can make the AI explain the content in a more understandable way. Utilize functions such as data organization and visualization, and multi – platform adaptation of DeepSeek. For example, ask it to process complex data and generate HTML chart code, or enter specific commands to obtain multi – platform versions of the copy.