DeepSeek's newly launched R1 large language model (LLM) has gained rapid popularity, surpassing ChatGPT in App Store downloads due to its innovative open-source approach and significantly lower pricing. R1 utilizes reinforcement learning instead of traditional supervised fine-tuning, allowing it to effectively explore problem-solving techniques. Over the launch weekend, DeepSeek recorded an estimated 2.1 million searches, leading to notable impacts on US tech stocks, including a 17% drop in Nvidia's share price. The developments have drawn attention from political figures, stressing the urgency of addressing challenges posed by emerging AI technologies.
The introduction of DeepSeek's R1 LLM has sparked significant interest, with over 2.1 million searches and topped the charts for iPhone downloads.
DeepSeek's unique approach relies on reinforcement learning rather than traditional supervised fine-tuning, allowing it to effectively explore complex problem-solving.
DeepSeek offers competitive pricing compared to OpenAI's ChatGPT, charging $0.14 per million cached tokens, significantly lower than ChatGPT's $2.50.
The unexpected popularity of DeepSeek's model led to turmoil in US tech stock valuations, showcasing its impact on the market.
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