불만 | 8 Commonest Problems With Deepseek
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작성자 Emmanuel 작성일25-03-19 09:07 조회76회 댓글0건본문
DeepSeek acquired Nvidia’s H800 chips to train on, and these chips were designed to avoid the original October 2022 controls. First, the truth that DeepSeek was able to access AI chips does not point out a failure of the export restrictions, however it does point out the time-lag effect in achieving these insurance policies, and the cat-and-mouse nature of export controls. DeepSeek has now put new urgency on the administration to make up its thoughts on export controls. DeepSeek began in 2023 as a facet mission for founder Liang Wenfeng, whose quantitative buying and selling hedge fund firm, High-Flyer, was utilizing AI to make trading decisions. It was solely days after he revoked the earlier administration’s Executive Order 14110 of October 30, 2023 (Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence), that the White House introduced the $500 billion Stargate AI infrastructure challenge with OpenAI, Oracle and SoftBank. This doesn't mean the trend of AI-infused functions, workflows, and providers will abate any time soon: noted AI commentator and Wharton School professor Ethan Mollick is fond of claiming that if AI expertise stopped advancing in the present day, we might nonetheless have 10 years to figure out how to maximize using its current state.
It also speaks to the fact that we’re in a state much like GPT-2, the place you've a giant new thought that’s comparatively simple and simply needs to be scaled up. Just to provide an concept about how the issues appear to be, AIMO offered a 10-downside coaching set open to the public. DeepSeek's fashions are "open weight", which gives much less freedom for modification than true open supply software program. While most different Chinese AI corporations are happy with "copying" present open supply fashions, reminiscent of Meta’s Llama, to develop their purposes, Liang went additional. In an interview by Liang with Chinese expertise news portal 36Kr in July 2024, he said: "We consider China’s AI know-how won’t keep following within the footsteps of its predecessors without end. But Liang began accumulating hundreds of Nvidia chips as early as 2021. Although Liang, as well as DeepSeek, has been relatively low-profiled and didn't give quite a lot of interviews, in a Chinese-language feature in July 2024, he discussed his know-how vision, technique and philosophy in detail.
Understandably, with the scant information disclosed by DeepSeek, it is tough to leap to any conclusion and accuse the corporate of understating the cost of its training and improvement of the V3, or different models whose prices haven't been disclosed. According to the DeepSeek-V3 Technical Report revealed by the company in December 2024, the "economical training prices of DeepSeek-V3" was achieved via its "optimized co-design of algorithms, frameworks, and hardware," utilizing a cluster of 2,048 Nvidia H800 GPUs for a total of 2.788 million GPU-hours to complete the coaching stages from pre-coaching, context extension and publish-coaching for 671 billion parameters. Dm/user/202002135/deepseek-france">deepseek français visit our web site.
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