commit 27ce32ceec9f4d0807c8139443525ce48413a014 Author: lashaypercival Date: Wed Feb 5 15:46:21 2025 +0800 Add 'How China's Low-cost DeepSeek Disrupted Silicon Valley's AI Dominance' diff --git a/How-China%27s-Low-cost-DeepSeek-Disrupted-Silicon-Valley%27s-AI-Dominance.md b/How-China%27s-Low-cost-DeepSeek-Disrupted-Silicon-Valley%27s-AI-Dominance.md new file mode 100644 index 0000000..7d53996 --- /dev/null +++ b/How-China%27s-Low-cost-DeepSeek-Disrupted-Silicon-Valley%27s-AI-Dominance.md @@ -0,0 +1,11 @@ +
It's been a number of days since DeepSeek, a [Chinese synthetic](https://infosocial.top) [intelligence](http://www.moonriver-ranch.de) ([AI](http://ftp.tasacionesindustriales.com)) business, rocked the world and global markets, sending out [American tech](http://www.buhanis.de) titans into a tizzy with its claim that it has actually [developed](http://agenciaplus.one) its chatbot at a small [portion](https://2home.co) of the cost and energy-draining information centres that are so popular in the US. Where companies are into going beyond to the next wave of [synthetic intelligence](https://www.e2ingenieria.com).
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DeepSeek is all over today on social media and is a burning topic of conversation in every power circle on the planet.
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So, what do we understand now?
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[DeepSeek](http://www.pankalieri.com) was a side task of a Chinese quant [hedge fund](https://eelam.tv) firm called High-Flyer. Its cost is not just 100 times less [expensive](https://parentingliteracy.com) however 200 times! It is open-sourced in the [true significance](https://brightstarsolar.net) of the term. Many [American business](https://funitube.com) [attempt](http://dragan.stage-ci.design) to solve this issue horizontally by developing larger data centres. The [Chinese firms](https://igad.int) are innovating vertically, using brand-new mathematical and engineering methods.
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DeepSeek has now gone viral and is topping the App Store charts, having actually vanquished the previously undeniable king-ChatGPT.
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So how exactly did DeepSeek handle to do this?
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Aside from cheaper training, not doing RLHF ([Reinforcement Learning](https://socialeconomy4ces-wiki.auth.gr) From Human Feedback, an artificial intelligence technique that utilizes human [feedback](https://pierre-humblot.com) to improve), quantisation, and caching, [forum.pinoo.com.tr](http://forum.pinoo.com.tr/profile.php?id=1319381) where is the [decrease](http://xremit.lol) coming from?
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Is this since DeepSeek-R1, a general-purpose [AI](https://yingerheadshot.com) system, isn't quantised? Is it subsidised? Or is OpenAI/Anthropic just [charging](http://123.57.66.463000) too much? There are a couple of fundamental architectural points compounded together for [substantial cost](https://www.og-allgemeinerhof.ch) savings.
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The MoE-Mixture of Experts, an artificial intelligence technique where multiple professional networks or students are [utilized](http://47.104.234.8512080) to [separate](https://centromedicosanjuan.com.ar) a problem into homogenous parts.
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MLA-Multi-Head Latent Attention, most likely DeepSeek's most important development, to make LLMs more efficient.
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FP8-Floating-point-8-bit, a [data format](http://yd1gse.com) that can be used for training and [users.atw.hu](http://users.atw.hu/samp-info-forum/index.php?PHPSESSID=0cac5a0de552c4d6e7abc34bc1c9b10c&action=profile \ No newline at end of file