The Rise of DeepSeek: What Makes It a Game-Changer?

The Rise of DeepSeek: What Makes It a Game-Changer?

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DeepSeek AI has emerged as the newest AI bot to enter the digital landscape, making a significant impact for largely positive reasons. It has disrupted major American technology firms such as Nvidia, resulting in substantial losses in their market valuations. Additionally, it has elicited reactions from prominent figures, including Sam Altman, the CEO of OpenAI and the creator of ChatGPT, who acknowledged the LLM model and recognized it as a competitor.

The development of DeepSeek reportedly required an investment of only $6 million, a stark contrast to the billions that other corporations are allocating in their pursuit of advancement in this sector. For those interested in understanding what DeepSeek entails, how it stands apart from its competitors, and whether it is worth considering a switch, we will address the top ten pressing inquiries.

What is DeepSeek?

DeepSeek is a company located in Hangzhou, China, established in July 2023. Its inception was recent, and the company's chatbot, DeepSeek AI Assistant, was introduced on the Apple App Store, quickly ascending to the position of the top free app shortly after its launch on January 10.

Who is the founder of DeepSeek?

Liang Wenfeng is the founder of DeepSeek, who reportedly financed the company through his hedge fund, as noted by MIT Technology Review.

Where did DeepSeek acquire the computing power to develop its advanced AI?

According to MIT Technology Review, DeepSeek created the majority of its AI products utilizing Nvidia A100, which its founder, Liang, was able to access prior to the imposition of bans in China.

How can you use DeepSeek?

There are two primary methods to utilize DeepSeek. You can download the DeepSeek AI Bot from the Apple App Store, or you can search for "DeepSeek AI Assistant" directly within the App Store, where it appears as a 36.5 MB application with a current rating of 4.6 stars. Alternatively, you may access the web version by visiting chat.deepseek.com.

In terms of performance, how does DeepSeek R1 compare to OpenAI's GPT-4?

DeepSeek R1 achieves a quality score of 90.8 on the MMLU benchmark, surpassing GPT-4's score of 86.4. Additionally, DeepSeek R1 supports a context window of 128k tokens, in contrast to GPT-4's 8,192 tokens. A significant distinction is that DeepSeek R1 is open-source, whereas GPT-4 is proprietary. Furthermore, the cost associated with input and output for DeepSeek R1 is considerably lower than that of GPT-4.

What accounts for the low development cost of DeepSeek?

Reports indicate that the total expenditure for developing DeepSeek ranged from $5.5 million to $6 million, which is significantly less than the investment required for many leading AI models.

Are there other open-source models similar to DeepSeek R1?

Contrary to common assumptions, companies such as Meta do offer open-source AI models, including the Llama family of large language models.

What are the strengths of DeepSeek R1?

Users generally agree that DeepSeek R1 demonstrates exceptional capabilities in mathematics and reasoning. However, it may not perform as effectively in creative endeavors, such as writing and similar tasks.

Is DeepSeek located in China, and is it advisable to utilize it?

There have been increasing national security concerns surrounding AI models in both the United States and India, prompting questions about the appropriateness of using DeepSeek. It is confirmed that DeepSeek is based in China and functions from that location, which necessitates adherence to Chinese content regulations.

What distinguishes it from models such as ChatGPT or Google Gemini? 

In essence, DeepSeek operates on a fundamentally different principle compared to ChatGPT. This distinction arises from DeepSeek being open-source and utilizing inference-time computing, which effectively lowers costs and minimizes the requirement for extensive computing resources.

Read Also: The Impact of DeepSeek on the US AI Landscape: A Comprehensive Analysis

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