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Never Lose Your Deepseek Again

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작성자 Latonya 작성일25-03-18 19:09 조회2회 댓글0건

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premium_photo-1677038152043-a138dc8ab875?ixid=M3wxMjA3fDB8MXxzZWFyY2h8NDR8fGRlZXBzZWVrfGVufDB8fHx8MTc0MTMxNDk4N3ww%5Cu0026ixlib=rb-4.0.3 In this article, we'll present a complete exploration of DeepSeek v3 AI, its know-how, purposes, and its implications for the way forward for AI. Liang Wenfeng: We aim to develop common AI, or AGI. DeepSeek CEO Liang Wenfeng, also the founder of High-Flyer - a Chinese quantitative fund and DeepSeek’s major backer - lately met with Chinese Premier Li Qiang, where he highlighted the challenges Chinese corporations face resulting from U.S. Many startups have begun to regulate their methods and even consider withdrawing after main gamers entered the sphere, but this quantitative fund is forging forward alone. This implies, by way of computational power alone, High-Flyer had secured its ticket to develop one thing like ChatGPT earlier than many main tech firms. Regarding the secret to High-Flyer's growth, insiders attribute it to "selecting a group of inexperienced however potential people, and having an organizational structure and corporate tradition that permits innovation to occur," which they consider can also be the key for LLM startups to compete with main tech companies. After graduation, unlike his peers who joined major tech corporations as programmers, he retreated to a cheap rental in Chengdu, enduring repeated failures in various scenarios, ultimately breaking into the advanced subject of finance and founding High-Flyer.


36Kr: Many believe that for startups, entering the sector after main firms have established a consensus is not a great timing. Both major corporations and startups have their opportunities. Liang Wenfeng: Currently, plainly neither major firms nor startups can rapidly set up a dominant technological benefit. With OpenAI leading the best way and everyone constructing on publicly out there papers and code, by subsequent year at the most recent, each main firms and startups may have developed their own massive language fashions. There isn't a question that it represents a serious improvement over the state-of-the-art from just two years in the past. When the scarcity of high-performance GPU chips amongst domestic cloud providers turned the most direct factor limiting the delivery of China's generative AI, according to "Caijing Eleven People (a Chinese media outlet)," there are no more than five firms in China with over 10,000 GPUs. There are others as nicely. As Chinese AI startup DeepSeek draws attention for open-supply AI fashions that it says are cheaper than the competitors whereas providing similar or better efficiency, AI chip king Nvidia’s inventory worth dropped right now. Meta isn’t alone - other tech giants are additionally scrambling to know how this Chinese startup has achieved such results.


OpenAI, ByteDance, Alibaba, Zhipu AI, and Moonshot AI are among the teams actively finding out DeepSeek, Chinese media outlet TMTPost reported. China-centered podcast and media platform ChinaTalk has already translated one interview with Liang after Free DeepSeek online-V2 was released in 2024 (kudos to Jordan!) In this put up, I translated one other from May 2023, shortly after the DeepSeek’s founding. Its CEO not often speaks publicly, so every interview and statement is scrutinized. After more than a decade of entrepreneurship, that is the primary public interview for this rarely seen "tech geek" sort of founder. For those quick on time, I additionally recommend Wired’s newest feature and MIT Tech Review’s protection on DeepSeek. Besides several leading tech giants, this listing features a quantitative fund firm named High-Flyer. In the quantitative area, High-Flyer is a "prime fund" that has reached a scale of a whole lot of billions. Why would a quantitative fund undertake such a job? 36Kr: Why do you outline your mission as "conducting research and exploration"?


profile.png 36Kr: Recently, High-Flyer announced its determination to venture into constructing LLMs. 36Kr: Are you planning to practice a LLM yourselves, or concentrate on a specific vertical industry-like finance-related LLMs? However, LLMs closely depend on computational power, algorithms, and knowledge, requiring an preliminary investment of $50 million and tens of hundreds of thousands of dollars per coaching session, making it difficult for corporations not value billions to maintain. Therefore, the developments of outdoors firms resembling DeepSeek are broadly part of Apple's continued involvement in AI research. Therefore, beyond the inevitable subjects of cash, talent, and computational power involved in LLMs, we additionally mentioned with High-Flyer founder Liang about what kind of organizational structure can foster innovation and the way long human madness can final. Moreover, in a subject thought-about extremely dependent on scarce talent, High-Flyer is making an attempt to collect a bunch of obsessed individuals, wielding what they consider their greatest weapon: collective curiosity.



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