Never Lose Your Deepseek Again

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작성자 Kassie 작성일25-03-15 14:05 조회5회 댓글0건

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Header-SF-DeepSeek-MR.jpg In this article, we will provide a complete exploration of DeepSeek AI, its technology, applications, and its implications for the way forward for AI. Liang Wenfeng: We aim to develop basic AI, or AGI. DeepSeek CEO Liang Wenfeng, additionally the founding father of High-Flyer - a Chinese quantitative fund and DeepSeek’s major backer - not too long ago met with Chinese Premier Li Qiang, the place he highlighted the challenges Chinese firms face on account of U.S. Many startups have begun to regulate their strategies and even consider withdrawing after main gamers entered the field, but this quantitative fund is forging forward alone. This means, by way of computational energy alone, High-Flyer had secured its ticket to develop something like ChatGPT earlier than many main tech firms. Regarding the key to High-Flyer's growth, insiders attribute it to "selecting a group of inexperienced but potential people, and having an organizational construction and company culture that allows innovation to occur," which they consider can also be the key for LLM startups to compete with major tech corporations. After graduation, in contrast to his peers who joined major tech firms as programmers, he retreated to an inexpensive rental in Chengdu, enduring repeated failures in numerous eventualities, eventually breaking into the complicated discipline of finance and founding High-Flyer.


36Kr: Many believe that for startups, entering the sector after main companies have established a consensus is now not a great timing. Both major firms and startups have their alternatives. Liang Wenfeng: Currently, it appears that evidently neither main firms nor startups can rapidly set up a dominant technological advantage. With OpenAI main the way and everybody constructing on publicly obtainable papers and code, by subsequent 12 months at the most recent, both major firms and startups may have developed their own massive language fashions. There isn't any question that it represents a serious improvement over the state-of-the-artwork from simply two years ago. When the shortage of excessive-performance GPU chips amongst domestic cloud suppliers turned the most direct issue limiting the delivery of China's generative AI, in line with "Caijing Eleven People (a Chinese media outlet)," there are not more than 5 firms in China with over 10,000 GPUs. There are others as properly. As Chinese AI startup DeepSeek attracts attention for open-source AI fashions that it says are cheaper than the competition whereas providing related or higher efficiency, AI chip king Nvidia’s stock price dropped in the present day. Meta isn’t alone - other tech giants are also scrambling to grasp how this Chinese startup has achieved such outcomes.


OpenAI, ByteDance, Alibaba, Zhipu AI, and Moonshot AI are among the many 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 publish, I translated one other from May 2023, shortly after the DeepSeek’s founding. Its CEO hardly ever speaks publicly, so every interview and statement is scrutinized. After greater than a decade of entrepreneurship, this is the primary public interview for this rarely seen "tech geek" sort of founder. For these short on time, I additionally suggest Wired’s newest feature and MIT Tech Review’s protection on DeepSeek. Besides several leading tech giants, this list features a quantitative fund firm named High-Flyer. Within the quantitative subject, High-Flyer is a "high fund" that has reached a scale of a whole bunch of billions. Why would a quantitative fund undertake such a process? 36Kr: Why do you define your mission as "conducting analysis and exploration"?


mushroom-moss-nature-forest-autumn-focus-stack-thumbnail.jpg 36Kr: Recently, High-Flyer announced its choice to enterprise into constructing LLMs. 36Kr: Are you planning to practice a LLM yourselves, or concentrate on a specific vertical business-like finance-associated LLMs? However, LLMs heavily depend on computational energy, algorithms, and data, requiring an preliminary funding of $50 million and tens of millions of dollars per coaching session, making it troublesome for firms not worth billions to maintain. Therefore, the developments of outside companies similar to Deepseek Online chat are broadly part of Apple's continued involvement in AI research. Therefore, beyond the inevitable subjects of cash, talent, and computational power concerned in LLMs, we additionally discussed with High-Flyer founder Liang about what kind of organizational construction can foster innovation and the way lengthy human madness can final. Moreover, in a area thought of highly dependent on scarce talent, High-Flyer is making an attempt to collect a bunch of obsessed people, wielding what they consider their best weapon: collective curiosity.



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