Never Lose Your Deepseek Again

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작성자 Wendy Chewning 작성일25-03-10 18:59 조회4회 댓글0건

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maxres.jpg In this article, we are going to present a complete exploration of DeepSeek AI, its expertise, functions, and its implications for the way forward for AI. Liang Wenfeng: We aim to develop normal AI, or AGI. DeepSeek CEO Liang Wenfeng, also the founding father of High-Flyer - a Chinese quantitative fund and DeepSeek’s primary backer - lately met with Chinese Premier Li Qiang, the place he highlighted the challenges Chinese corporations face as a consequence of U.S. Many startups have begun to regulate their strategies and even consider withdrawing after main gamers entered the sphere, yet this quantitative fund is forging ahead alone. This means, in terms of computational power alone, High-Flyer had secured its ticket to develop one thing like ChatGPT earlier than many main tech corporations. Regarding the key to High-Flyer's development, insiders attribute it to "selecting a group of inexperienced however potential people, and having an organizational construction and company tradition that permits innovation to happen," which they imagine can also be the key for LLM startups to compete with main tech corporations. After graduation, in contrast to his peers who joined major tech companies as programmers, he retreated to an affordable rental in Chengdu, enduring repeated failures in various scenarios, finally breaking into the advanced discipline of finance and founding High-Flyer.


36Kr: Many believe that for startups, coming into the sphere after major firms have established a consensus is now not a great timing. Both major companies and startups have their opportunities. Liang Wenfeng: Currently, plainly neither main firms nor startups can rapidly establish a dominant technological benefit. With OpenAI main the best way and everyone constructing on publicly out there papers and code, by next 12 months at the latest, both main companies and startups may have developed their very own giant language models. There isn't any query that it represents a significant enchancment over the state-of-the-artwork from simply two years ago. When the shortage of excessive-performance GPU chips among domestic cloud providers became probably the most direct issue limiting the delivery of China's generative AI, based on "Caijing Eleven People (a Chinese media outlet)," there are no more than five corporations in China with over 10,000 GPUs. There are others as effectively. As Chinese AI startup Free DeepSeek r1 attracts consideration for open-supply AI fashions that it says are cheaper than the competitors whereas offering comparable or better efficiency, AI chip king Nvidia’s inventory value dropped right now. Meta isn’t alone - different tech giants are also scrambling to grasp how this Chinese startup has achieved such results.


OpenAI, ByteDance, Alibaba, Zhipu AI, and Moonshot AI are among the teams actively studying DeepSeek, Chinese media outlet TMTPost reported. China-targeted podcast and media platform ChinaTalk has already translated one interview with Liang after DeepSeek-V2 was released in 2024 (kudos to Jordan!) On this put up, I translated one other from May 2023, shortly after the DeepSeek’s founding. Its CEO not often speaks publicly, so each interview and assertion is scrutinized. After more than a decade of entrepreneurship, that is the first public interview for this hardly ever seen "tech geek" sort of founder. For those quick on time, I additionally suggest Wired’s newest function and MIT Tech Review’s coverage on DeepSeek. Besides several main tech giants, this list features a quantitative fund company named High-Flyer. Within the quantitative field, High-Flyer is a "high fund" that has reached a scale of hundreds of billions. Why would a quantitative fund undertake such a activity? 36Kr: Why do you outline your mission as "conducting research and exploration"?


maxres.jpg 36Kr: Recently, High-Flyer announced its resolution to enterprise into constructing LLMs. 36Kr: Are you planning to train a LLM yourselves, or deal with a particular vertical trade-like finance-associated LLMs? However, LLMs closely depend upon computational energy, algorithms, and data, requiring an initial funding of $50 million and tens of millions of dollars per coaching session, making it difficult for companies not price billions to sustain. Therefore, the developments of outside corporations corresponding to DeepSeek are broadly part of Apple's continued involvement in AI analysis. Therefore, beyond the inevitable topics of money, expertise, and computational energy concerned in LLMs, we additionally discussed with High-Flyer founder Liang about what kind of organizational structure can foster innovation and how lengthy human madness can final. Moreover, in a discipline considered extremely dependent on scarce expertise, High-Flyer is making an attempt to gather a gaggle of obsessed individuals, wielding what they consider their greatest weapon: collective curiosity.



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