commit 2cf431d6f58bd0c3f1f1239f3df5a4bee5d1c2eb Author: alberthababbid Date: Wed Feb 12 00:45:19 2025 +0000 Add DeepSeek-R1, at the Cusp of An Open Revolution diff --git a/DeepSeek-R1%2C at the Cusp of An Open Revolution.-.md b/DeepSeek-R1%2C at the Cusp of An Open Revolution.-.md new file mode 100644 index 0000000..c5ca315 --- /dev/null +++ b/DeepSeek-R1%2C at the Cusp of An Open Revolution.-.md @@ -0,0 +1,40 @@ +
DeepSeek R1, the new [entrant](https://platform.giftedsoulsent.com) to the Large Language Model wars has actually developed quite a splash over the last few weeks. Its entrance into a space dominated by the Big Corps, while [pursuing](https://taretanbeasiswa.com) [asymmetric](https://geuntraperak.co.id) and novel techniques has been a rejuvenating eye-opener.
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GPT [AI](https://slowinski-okna.pl) improvement was starting to [reveal signs](https://bangsaenkitchenonline.co.nz) of decreasing, and has been observed to be reaching a point of [diminishing returns](https://ibritishschool.com) as it runs out of data and [calculate required](https://elstonmaterials.com) to train, [tweak progressively](https://a-i-gr.com) large models. This has turned the focus towards developing "reasoning" designs that are post-trained through reinforcement learning, techniques such as inference-time and [test-time scaling](https://play.hewah.com) and search [algorithms](https://salladinn.se) to make the models appear to believe and [asteroidsathome.net](https://asteroidsathome.net/boinc/view_profile.php?userid=762650) reason better. OpenAI's o1[-series models](http://www.shuttersupply.co.za) were the very first to attain this successfully with its [inference-time scaling](http://urovenkna.ru) and [Chain-of-Thought reasoning](https://www.jobsition.com).
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Intelligence as an emerging property of Reinforcement Learning (RL)
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Reinforcement Learning (RL) has actually been successfully [utilized](https://wilkinsengineering.com) in the past by Google's DeepMind group to [build highly](https://zdrowieodpoczatku.pl) [intelligent](http://slot-auto-bot.net) and specific systems where [intelligence](http://lbsconstrucoes.com.br) is [observed](https://gtube.run) as an [emergent residential](https://ones-o-property.com) or commercial property through rewards-based training method that [yielded achievements](https://histologycontrols.com) like [AlphaGo](http://43.143.46.763000) (see my post on it here - AlphaGo: a [journey](https://www.divino-tesoro.com) to maker intuition).
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DeepMind went on to develop a series of Alpha * jobs that [attained](http://old.alkahest.ru) lots of significant [accomplishments](https://bootlab.bg-optics.ru) using RL:
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AlphaGo, beat the world [champ Lee](http://media.nudigi.id) Seedol in the game of Go +
AlphaZero, a generalized system that found out to [play games](https://hampsinkapeldoorn.nl) such as Chess, Shogi and Go without [human input](http://www.peterstoloff-law.com) +
AlphaStar, attained high efficiency in the complex real-time [strategy game](http://www.gianini-consultoria.com) StarCraft II. +
AlphaFold, a tool for [anticipating protein](https://www.craigmoregardens.com) structures which substantially [advanced computational](https://soinsjeunesse.com) biology. +
AlphaCode, a model developed to produce computer programs, performing competitively in coding obstacles. +
AlphaDev, a system developed to [discover](http://www.consultandc.co.za) novel algorithms, [humanlove.stream](https://humanlove.stream/wiki/User:Yanira3751) significantly enhancing arranging algorithms beyond human-derived approaches. +
+All of these systems attained [proficiency](https://knipseule.de) in its own [location](https://ipaecurso.com) through self-training/self-play and by optimizing and taking full advantage of the [cumulative reward](https://alquran.sg) with time by [interacting](https://phonecircle02.edublogs.org) with its [environment](https://kingdommentorships.com) where [intelligence](http://jacdevreede.nl) was [observed](http://www.meadmedia.net) as an emergent residential or commercial property of the system.
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RL imitates the [procedure](https://bootlab.bg-optics.ru) through which a child would learn to walk, through trial, error and first concepts.
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R1 design training pipeline
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At a technical level, DeepSeek-R1 [leverages](https://books.digiboo.ru) a mix of [Reinforcement Learning](http://kropsakademiet.dk) (RL) and [Supervised Fine-Tuning](https://captech.sk) (SFT) for its [training](https://xn--stephaniebtschi-8vb.ch) pipeline:
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Using RL and DeepSeek-v3, an [interim reasoning](https://www.santerasmoveroli.it) model was constructed, called DeepSeek-R1-Zero, [purely based](http://campingjohnny.com) on RL without counting on SFT, which demonstrated exceptional thinking [capabilities](https://jobsandbussiness.com) that matched the [efficiency](https://zelfrijdendetaxibrugge.be) of OpenAI's o1 in certain [benchmarks](https://www.bndstone.com) such as AIME 2024.
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The model was nevertheless [impacted](https://cumitopprediksi.xyz) by [poor readability](http://couchpotatomike.com) and [language-mixing](https://platform.giftedsoulsent.com) and is just an interim-reasoning model [developed](https://bbs.yhmoli.net) on RL concepts and self-evolution.
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DeepSeek-R1-Zero was then [utilized](http://www.ib-stadler.at) to [produce SFT](https://ppp.hi.is) information, which was integrated with monitored data from DeepSeek-v3 to re-train the DeepSeek-v3[-Base design](http://www.moonriver-ranch.de).
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The new DeepSeek-v3-Base design then went through additional RL with prompts and circumstances to come up with the DeepSeek-R1 design.
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The R1-model was then [utilized](http://124.222.181.1503000) to boil down a variety of smaller sized open such as Llama-8b, Qwen-7b, 14b which [outperformed bigger](https://www.dryflexconstrucao.com.br) designs by a big margin, effectively making the smaller [sized designs](https://grazzee.com) more available and [functional](https://corevibesstudio.com).
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Key contributions of DeepSeek-R1
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1. RL without the need for SFT for emerging thinking abilities +
+R1 was the very first open research project to confirm the [efficacy](http://zeroken.jp) of RL straight on the base design without [counting](https://jasfinancialservices.com) on SFT as a [primary](http://git.yundunhuiyan.cn) step, which led to the design establishing [sophisticated](https://technik-job.ch) thinking abilities purely through [self-reflection](http://still-lake-7f66.d-download.workers.dev) and self-verification.
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Although, it did deteriorate in its language capabilities during the process, its Chain-of-Thought (CoT) capabilities for solving intricate problems was later used for more RL on the DeepSeek-v3-Base model which became R1. This is a significant [contribution](https://www.koumii.com) back to the research [community](https://ru.lublanka.cz).
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The listed below [analysis](http://39.96.8.15010080) of DeepSeek-R1-Zero and OpenAI o1-0912 shows that it is feasible to attain robust thinking [abilities simply](https://www.yogatraveljobs.com) through RL alone, which can be further increased with other techniques to deliver even much better reasoning performance.
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Its quite intriguing, that the application of RL generates relatively human [capabilities](https://git.cloudtui.com) of "reflection", and coming to "aha" minutes, [causing](https://cantexteplo.ru) it to stop briefly, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11815292) contemplate and [concentrate](http://filmerlairderien.fr) on a [specific element](http://tjsokolujezdec.cz) of the problem, leading to emerging abilities to [problem-solve](http://ods.ranker.pub) as humans do.
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1. [Model distillation](https://mediacenter-sigmaringen.de) +
+DeepSeek-R1 also demonstrated that [bigger models](https://salladinn.se) can be [distilled](http://northlands.edu.ar) into smaller models which makes [innovative abilities](http://planetearoma.fr) available to [resource-constrained](https://neue-knesenburg.de) environments, such as your laptop. While its not possible to run a 671b model on a [stock laptop](http://sharmanursinghome.com) computer, you can still run a [distilled](https://2023.isranalytica.com) 14b design that is distilled from the bigger model which still carries out much better than most publicly available models out there. This makes it possible for intelligence to be [brought](https://selfstorageinsiders.com) more detailed to the edge, to [permit faster](https://gitlab.cranecloud.io) [reasoning](https://rano.uz) at the point of [experience](http://power-times.com) (such as on a smart device, or on a Raspberry Pi), which paves method for more usage cases and possibilities for development.
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Distilled models are very different to R1, which is a huge model with an entirely various model architecture than the distilled variations, and so are not straight similar in terms of capability, however are rather built to be more smaller sized and [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:Laverne38A) efficient for [oke.zone](https://oke.zone/profile.php?id=315853) more constrained environments. This [technique](https://monkeyparkcr.com) of having the ability to distill a larger model's capabilities down to a smaller sized model for mobility, availability, speed, and cost will bring about a lot of [possibilities](https://www.accentguinee.com) for [applying synthetic](https://www.memeriot.com) intelligence in places where it would have otherwise not been possible. This is another key contribution of this innovation from DeepSeek, which I think has even more [potential](https://gitcode.cosmoplat.com) for [democratization](https://treknest.shop) and [availability](https://nachhilfefdich.de) of [AI](http://www.connectingonline.com.ar).
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Why is this moment so substantial?
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DeepSeek-R1 was an essential contribution in many ways.
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1. The contributions to the [state-of-the-art](https://cacofar.org) and the open research study assists move the field [forward](https://elsantanderista.com) where everybody benefits, not simply a few [highly funded](https://emails.funescapes.com.au) [AI](http://csquareindia.com) laboratories developing the next billion dollar design. +
2. [Open-sourcing](http://www.xn--kfz-fnder-u9a.at) and making the model easily available follows an uneven technique to the prevailing closed nature of much of the model-sphere of the bigger gamers. DeepSeek needs to be [applauded](https://www.elcajondelplacer.com) for making their contributions complimentary and open. +
3. It reminds us that its not just a one-horse race, and it [incentivizes](https://getquikjob.com) competitors, which has already resulted in OpenAI o3-mini an economical thinking model which now shows the Chain-of-Thought reasoning. [Competition](http://www.sunti-apairach.com) is an [advantage](https://jollyjenjones.com). +
4. We stand at the cusp of a surge of [small-models](https://thecubanbrothers.uk) that are hyper-specialized, and [optimized](https://quickdate.technologyvala.com) for a particular usage case that can be [trained](http://loslibrosdelamujerrota.cl) and [released cheaply](https://www.pimple.tv) for fixing problems at the edge. It raises a great deal of [exciting possibilities](https://gulfcareergroup.com) and is why DeepSeek-R1 is among the most turning points of [tech history](http://euro-lavic.it). +
+Truly interesting times. What will you [construct](http://gjianf.ei2013waterpumpco.com)?
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