I-Block-Sparse ne-Native Sparse Attention
Ukunaka okungatheni kanye nokunganakwa komdabu kuvumela ama-transformer ukuthi abheke kuphela izingcezu ezifanele zokulandelana okude esikhundleni sawo wonke amathokheni, enciphisa izindleko ze-quadratic zokunakwa okujwayelekile.
Uhlolojikelele
This is what makes efficient long-context models practical on real hardware.
I-Deep Dive
Ukuzinaka okujwayelekile kuqhathanisa yonke ithokheni nawo wonke amanye amathokheni, ngakho-ke izindleko zikhula ngokuphindwe kane ngobude bokulandelana, ziba zimbi kumadokhumenti amade kakhulu. Ukunaka okuncane kukhawulela ithokheni ngayinye kusethi engaphansi yamanye. Izindlela ze-block-sparse zihlukanisa ukulandelana zibe amabhulokhi futhi zibale ukunaka kwamabhulokhi akhethiwe kuphela, afaka imephu kahle kuma-GPU tensor cores. I-Native Sparse Attention (NSA), evela ku-DeepSeek, iqhubekela phambili: iqeqeshelwa ukuphela ukuya ekupheleni futhi iqondaniswe nehadiwe, ihlanganisa amagatsha amathathu, ukucindezelwa kwamathokheni amaholo, ukukhethwa okuhle kwamabhulokhi abaluleke kakhulu, kanye newindi elislayidayo lokuqukethwe kwendawo. Ngenxa yokuthi iphethini ye-sparsity ifundwa phakathi nokuqeqeshwa kwangaphambili kunokuba iboshwe ngemuva kwalokho, i-NSA ilondoloza ukunemba ngenkathi iletha ukusheshisa okukhulu ngokulandelana okude.
I-Technical Insight
I-NSA icubungula okhiye namanani ngokusebenzisa izindlela ezintathu ezifanayo, bese iwahlanganisa namasango afundiwe. Ukuminyanisa kuhlanganisa amabhulokhi amathokheni abe izethulo ezifingqiwe; amaphuzu okukhetha ayavimba futhi agcine kuphela asezingeni eliphezulu ukuze anakwe ngokugcwele; iwindi elishelelayo limboza amathokheni aseduze. Imisebenzi yezinga lokuvimba ihambisana nokufinyelela kwememori ye-GPU kanye ne-tensor-core throughput, ngakho-ke ukonga okungokomqondo kwe-FLOP kuhumushela ekusheshiseni kwangempela kwewashi phakathi nakho kokubili ukuqeqeshwa nokuchazwa, ikakhulukazi isinyathelo sokuqopha esiboshwe kwinkumbulo.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa Lokunakwa kwe-Block-Sparse kanye Nomdabu Womdabu
I-sparsity eqeqeshekayo, eqaphela ihadiwe iba indlela eya emongweni wamathokheni ayisigidi ngaphandle kwezindleko eziqhumayo. Lindela ukunaka okumbalwa okuzoklanywa kanye nama-kernels nama-accelerator, ahlanganiswe nokunaka okuqondile kanye nemibono yendawo yendawo, futhi yamukelwe emngceleni womongo omude namamodeli okucabanga. Njengoba amaphethini efundeka futhi eguquguquka, amamodeli azokwaba isabelomali sokunaka ngendlela evumelana nombuzo ngamunye, futhi amabhentshimakhi azokala ngokukhula kokukhishwa kwamakhodi ngokulandelana okude, hhayi nje ikhwalithi eluhlaza.
Ukuqaliswa Komhlaba Wangempela
Ukusebenzisa imodeli phezu kwayo yonke i-codebase noma inkontileka ende esemthethweni lapho ukunaka okugcwele kungaqeda inkumbulo ye-GPU.
I-NSA ye-DeepSeek isheshisa kokubili ukuqeqeshwa kwangaphambili kanye nokuchazwa kokuqukethwe okude ngenkathi ifanisa noma idlula ukunemba kokunaka okugcwele.
Ifinyeza amadokhumenti obude bencwadi ngokubheka izifinyezo zamabhulokhi acindezelwe kanye namavesi ahambisana nasendaweni.
Ukusheshisa abasizi bengxoxo yomongo omude isinyathelo sabo sokuqopha siboshelwe kumemori ngokukhawulela ithokheni ngayinye kumabhulokhi asezingeni eliphezulu.
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Amaphethini Okunakwa Okungajwayelekile
Imibuzo evame ukubuzwa
What is Block-Sparse and Native Sparse Attention?
Ukunaka okungatheni kanye nokunganakwa komdabu kuvumela ama-transformer ukuthi abheke kuphela izingcezu ezifanele zokulandelana okude esikhundleni sawo wonke amathokheni, enciphisa izindleko ze-quadratic zokunakwa okujwayelekile. Yilokhu okwenza amamodeli womongo omude asebenze kahle kuhadiwe yangempela.
Kungani ukuzinaka okujwayelekile kubiza ukulandelana okude?
Lonke ithokheni ibhekelela zonke ezinye ithokheni, ngakho-ke hlanganisa nesikali senkumbulo ngesikwele sobude bokulandelana.
Uyini umqondo oyinhloko wokunakwa kwe-block-sparse?
Ukulandelana kuhlukaniswe ngamabhulokhi futhi ukunaka kubalwa kuphela kumabhulokhi akhethiwe amapheya, aphinde enze imephu kahle kuma-GPU tensor cores.
Yini eyenza i-Native Sparse Attention (NSA) ihluke ezindleleni eziningi zangaphambili ezingavamile?
I-NSA ifunda iphethini yayo ye-sparsity ngesikhathi sokuqeqeshwa kwangaphambili futhi idizayinelwe ukuvumelanisa nehadiwe, ngakho igcina ukunemba ngenkathi isebenza ngokushesha.
Imaphi amagatsha amathathu i-NSA ewahlanganisayo ngokhiye namanani ayo?
I-NSA ihlanganisa ukucindezelwa kwamathokheni amaholo, ukukhethwa kwebhulokhi enezinhlamvu ezinhle, kanye newindi lasendaweni elislayidayo lisebenzisa amasango afundiwe.
Kungani i-NSA isebenzisa imisebenzi ye-block-level esikhundleni sokungenangqondo kwezinga lamathokheni?
Amaphethini okufinyelela ezingeni lokuvimba afanelana nezingxenyekazi zekhompiyutha ze-GPU, ngakho-ke ukonga kwe-FLOP okucatshangelwayo kube ukusheshisa kwangempela kwewashi.