DeepSeek A NEW BIG PLAYER FROM CHINA TO SHAKE UP THE AI BATTLEFIELD
AppleMagazine
|AppleMagazine #693
A new player has taken the tech world by storm, climbing to the top of the App Store charts and surpassing even established giants like ChatGPT.
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DeepSeek, developed by Chinese hedge fund manager Liang Wenfeng, has garnered significant attention for its unique approach to artificial intelligence. Experts think it could set the AI race on an entirely different path.
INTRODUCING DEEPSEEK
The growth of DeepSeek, particularly its chatbot underpinned by the R1 model, has taken the world by surprise. Out of nowhere, the app topped the download charts, overtaking even widely-known applications like ChatGPT and causing market turmoil along the way. This remarkable feat has raised eyebrows, particularly among those in Silicon Valley, where larger models with massive compute resources have long been considered the gold standard in AI development. The success of DeepSeek's R1 model is especially significant because it defies the conventional wisdom that bigger is always better when it comes to Al. The traditional belief has been that the more hardware power behind an AI system, the better its performance.
However, DeepSeek has demonstrated that efficiency and innovation in model design can be just as impactful. Rather than relying on the vast, expensive infrastructure that American competitors like OpenAl and Google utilize, DeepSeek has built a significantly smaller yet equally effective model.The secret to DeepSeek's success lies in its approach to AI training. The company has created a model that uses far fewer chips, only 2,000, compared to the 16,000 typically used by other AI labs to train similar systems. This cost and computing power efficiency have allowed DeepSeek to produce a highly functional AI system with a relatively low price tag. The model achieves this efficiency by prioritizing the quality of the outputs rather than simply increasing its size or the computational power behind it.
This story is from the AppleMagazine #693 edition of AppleMagazine.
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