DeepSeek Strikes Again: does its new Open-Source AI Model Beat DALL-E 3? > 자유게시판

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Wang also claimed that DeepSeek has about 50,000 H100s, regardless of missing proof. Nearly 20 months later, it’s fascinating to revisit Liang’s early views, which may hold the secret behind how DeepSeek, despite restricted assets and compute entry, has risen to face shoulder-to-shoulder with the world’s main AI corporations. Despite these challenges, High-Flyer stays optimistic. 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 situations, ultimately breaking into the complex subject of finance and founding High-Flyer. Quantitative funding is an import from the United States, which means virtually all founding teams of China's prime quantitative funds have some experience with American or European hedge funds. When the shortage of excessive-efficiency GPU chips amongst domestic cloud providers grew to become probably the most direct factor limiting the start of China's generative AI, based on "Caijing Eleven People (a Chinese media outlet)," there are no more than five companies in China with over 10,000 GPUs. Some additionally argued that DeepSeek’s means to prepare its mannequin with out entry to one of the best American chips suggests that U.S.

AI race and whether the demand for AI chips will sustain. Today, we draw a transparent line in the digital sand - any infringement on our cybersecurity will meet swift penalties. In the long term, the boundaries to applying LLMs will decrease, and startups will have opportunities at any level in the subsequent 20 years. Many startups have begun to regulate their strategies or even consider withdrawing after major players entered the sphere, yet this quantitative fund is forging ahead alone. Besides several leading tech giants, this list includes a quantitative fund firm named High-Flyer. The truth is, this firm, hardly ever considered by the lens of AI, has long been a hidden AI giant: in 2019, High-Flyer Quant established an AI company, with its self-developed deep learning training platform "Firefly One" totaling nearly 200 million yuan in funding, outfitted with 1,100 GPUs; two years later, "Firefly Two" increased its investment to 1 billion yuan, geared up with about 10,000 NVIDIA A100 graphics cards. China-centered podcast and media platform ChinaTalk has already translated one interview with Liang after DeepSeek-V2 was launched in 2024 (kudos to Jordan!) On this submit, I translated another from May 2023, shortly after the DeepSeek’s founding.

Last week, the release and buzz around DeepSeek-V2 have ignited widespread curiosity in MLA (Multi-head Latent Attention)! Since the discharge of its newest LLM DeepSeek-V3 and reasoning mannequin DeepSeek-R1, the tech community has been abuzz with pleasure. Large Language Models (LLMs) are a sort of artificial intelligence (AI) mannequin designed to grasp and generate human-like text based mostly on huge quantities of knowledge. Instruction-following evaluation for giant language fashions. With OpenAI leading the way and everybody building on publicly out there papers and code, by next yr at the most recent, each main corporations and startups will have developed their own massive language fashions. Rewardbench: Evaluating reward models for language modeling. Reasoning fashions take a little bit longer - usually seconds to minutes longer - to arrive at options compared to a typical non-reasoning mannequin. I don't want to bash webpack right here, however I'll say this : webpack is sluggish as shit, in comparison with Vite. ArenaHard: The model reached an accuracy of 76.2, in comparison with 68.Three and 66.3 in its predecessors. Within the quantitative discipline, High-Flyer is a "top fund" that has reached a scale of hundreds of billions.

High-Flyer is the exception: it's completely homegrown, having grown via its own explorations. This implies, when it comes to computational power alone, High-Flyer had secured its ticket to develop one thing like ChatGPT earlier than many main tech firms. Therefore, past the inevitable matters of cash, expertise, and computational energy involved in LLMs, we also mentioned with High-Flyer founder Liang about what kind of organizational structure can foster innovation and the way long human madness can last. Growing as an outsider, High-Flyer has at all times been like a disruptor. DeepSeekMath 7B's performance, which approaches that of state-of-the-art fashions like Gemini-Ultra and GPT-4, demonstrates the significant potential of this method and its broader implications for fields that rely on superior mathematical skills. The paper says that they tried making use of it to smaller fashions and it did not work almost as nicely, so "base fashions had been bad then" is a plausible clarification, but it's clearly not true - GPT-4-base is probably a usually higher (if costlier) mannequin than 4o, which o1 is predicated on (may very well be distillation from a secret greater one though); and LLaMA-3.1-405B used a considerably comparable postttraining process and is about pretty much as good a base mannequin, but isn't aggressive with o1 or R1.

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