DeepSeek

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DeepSeek

Basic information
Founded	2023-07-17
Legal Structure	Private
Industry	Artificial Intelligence
Also known as	Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd.
Official website	https://www.deepseek.com/

DeepSeek is a chinese artificial intelligence company founded on 17 July 2023 by Liang Wenfeng. It develops the DeepSeek large language model (LLM).

Consumer-impact summary

User Freedom

In order to use the model from the official website or application, it is required to log in or create an account. However, it can be downloaded, run locally and modify its components as it is distributed under the MIT license. The service provided from the official websites and applications offer unlimited conversations with the most recent models and features.

User Privacy

Using the chatbot from the official website, application or via the official API has raised several privacy concerns as how the company gathers and uses users data. Researches in South Korea found that the data collected is sent to ByteDance.

Bussiness Model

DeepSeek grants access to the API of their models by paying a monthly fee.

Incidents

Add one-paragraph summaries of incidents below in sub-sections, which link to each incident's main article while linking to the main article and including a short summary. It is acceptable to create an incident summary before the main page for an incident has been created. To link to the page use the "Hatnote" or "Main" templates.

If the company has numerous incidents then format them in a table (see Amazon for an example).

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This is a list of all consumer-protection incidents this company is involved in. Any incidents not mentioned here can be found in the DeepSeek category.

Mobile application collecting user data

Main article: link to the main CR Wiki article

Short summary of the incident (could be the same as the summary preceding the article).

Example incident two (date)

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Products

• DeepSeek LLM
• DeepSeek Coder
• DeepSeek Math

See also

Link to relevant theme articles or companies with similar incidents.

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