Feejignaanta Daahsoon ee Madax-badan
Feejignaanta Daahsoon ee Madax-badan (MLA) waa hab fiiro gaar ah, oo lagu soo bandhigay DeepSeek-V2, kaas oo ku cadaadinaya kaydka qiimaha muhiimka ah ee xusuusta-gaajaysan oo ah vector yar oo qarsoon oo la wadaago.
Dulmar
It lets large language models run with far less GPU memory while keeping quality close to standard attention.
quusid qoto dheer
Marka transformerku soo saaro qoraalka, waxa uu kaydiyaa furaha iyo qiimaha vector kasta calaamadii hore ee 'KV cache'. Kaydintaasi waxay ku koraan dhererka macnaha guud waxayna xukumaan isticmaalka xusuusta marka la eego. MLA waxa ay ku beddeshaa faa'iidooyin badan oo cabbir buuxa/muhiim ah oo leh hal darajo hoose oo vector dahsoon halkii calaamad, ka dibna mashruucyo dib ugu noqda furayaasha madax-kasta iyo qiyamka duulista. Sababtoo ah kaliya qarsoodiga qarsoodiga ah ayaa la keydiyay, DeepSeek-V2 ayaa soo warisay in la jaray KV-cache memory in ka badan 90% marka loo eego dareenka madax-madaxa badan ee caadiga ah, taas oo awood u siinaysa duruufo dhaadheer iyo cabbiro waaweyn. Muhiimad gaar ah, jaangooyooyinka hor-u-qaadista waxaa lagu laalaabi karaa miisaanyo kale, marka MLA waxay ku guulaysataa isku-duubni iyada oo wax yar ama aan lahayn khasaare la qiyaasi karo oo ku yimid tayada qaabaynta.
Aragtida Farsamada
MLA waxa ay qabataa isku xidhka wadajirka ah ee darajada hoose: calamad kasta xaaladeeda qarsoon waxa loo saadaalinayaa ilaa qayb yar oo dahsoon, oo kala saara jaangooyooyinka sare-u-qaadista waxay dib u dhisaan furayaasha madax kasta iyo qiyamka. Khiyaamada xariifnimada leh waa 'nuugista' miisaanka saadaasha kor u qaadista saadaasha weydiinta iyo wax soo saarka, sidaa darteed moodalku waligii ma rumeeyo furayaasha/qiimaha buuxa inta lagu jiro falanqaynta. Ku dhejinta booska wareegta waxaa lagu maamulaa waddo muhiim ah oo kala go'an, maadaama wareeggu aan si la mid ah loo nuugi karin, iyadoo la ilaalinayo macluumaadka booska.
Saamaynta Istiraatijiyadeed
Xawaaraha iyo miisaanka
Socodka shaqada luqaddu si dhakhso leh ayay u socon kartaa iyada oo aan la hurayn joogteynta.
Helitaanka iyo gaarsiinta
Waxay balaadhisaa gelitaanka luqadaha iyo qaababka isgaarsiinta.
Go'aamo cad
Kooxuhu waxay waqti badan ku qaadan karaan xukunka halka otomaatiggu uu qabanayo ku celcelinta.
Mustaqbalka Feejignaanta Daahsoon ee Madax-badan
MLA waxay ka caawisay inay DeepSeek-V2 iyo V3 ka dhigaan mid dhaqaale si loogu adeego qiyaasta, farsamaduna way sii fidaysaa iyadoo kooxuhu ay eryanayaan fikrad ka raqiisan muddada dheer. Filo isku-buufinta daahsoon ee qaabka MLA si loogu daro lakabyada isku-dhafka-khabarada ee aan badnayn, khasnado la qiyaasey, iyo dejinta koodka mala-awaalka ah ee moodooyinka mustaqbalka ee furan. Cilmi-baadhayaashu waxay sidoo kale sahamiyaan ilaa inta cabbirka daahsoon uu hoos u dhici karo ka hor inta aan tayada hoos loo dhigin, iyo haddii fikradda hoose ee isku midka ah ay cadaadin karto dareenka inta lagu jiro tababarka, maaha kaliya fikradda.
Dhaqangelinta Adduunka-dhabta ah
U adeega DeepSeek-V2/V3 moodooyinka wada sheekaysiga ee leh raadadka xusuusta GPU ee aad u yar codsi kasta
Ku socodsiinta su'aalaha dukumeentiga dheer ee ka jawaabaya halka kaydka weyn ee KV uu haddii kale daali doono VRAM
Kordhinta cabbirka dufcadda go'an ee GPU go'an sababtoo ah taxane kasta wuxuu kaydiyaa kaliya vector yar oo qarsoon
U oggolaanshaha daaqadaha macnaha guud ee dheer ee qalabka badeecadaha ee kaaliyeyaasha dib u soo celinta-la kordhiyay
Khatarta & Dariiqyada Ilaalada
Xaqiiqooyinka dhalanteed waxay si deggan u geli karaan warbixinnada, taageerada socodka, ama natiijooyinka cilmi-baarista.
Dareenka degdega ahi wuxuu abuuri karaa natiijooyin aan iswaafaqayn codsiyada la midka ah.
Xogta qoraalka xasaasiga ah ayaa laga yaabaa in la kashifo haddii kontaroolada gelitaanka ay daciif yihiin.
Qorshe Hawleedka Dhaqangelinta
Qeex qaabka wax soo saarka, codka, iyo heerarka tayada ka hor inta aan la baahin.
Jawaabaha salka ku haya ilo lagu kalsoon yahay mar kasta oo saxnidu ay muhiim tahay.
Hayso isbaarada dib u eegista bini aadamka ee wax soo saarka sare.
Lasoco qaababka guuldarada oo dib u leyli dardargelinta ama socodka shaqada si joogto ah.
Sii wad Sahaminta
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Hagaha xiga
Feejignaan su'aal badan
Su'aalaha soo noqnoqda
What is Multi-Head Latent Attention?
Feejignaanta Daahsoon ee Madax-badan (MLA) waa hab fiiro gaar ah, oo lagu soo bandhigay DeepSeek-V2, kaas oo ku cadaadinaya kaydka qiimaha muhiimka ah ee xusuusta-gaajaysan oo ah vector yar oo qarsoon oo la wadaago. Waxay u ogolaataa moodooyinka luqadaha waaweyn inay ku shaqeeyaan xusuusta GPU aad uga yar iyadoo tayada lagu ilaalinayo dareenka caadiga ah.
Waa maxay dhibaatada aasaasiga ah ee Madax-bannaanida Daahsoon ee loogu talagalay in la yareeyo?
MLA waxa uu bartilmaameedsadaa kaydka KV, kaas oo ku koraa dhererka macnaha guud oo xukuma xusuusta inta lagu jiro jiilka qoraalka.
Sidee ayuu MLA u dhimaa kaydka KV?
MLA waxay kaydisaa hal calaamad oo qarsoon oo is haysta oo dib u dhis ku sameeya furayaasha iyo qiyamka iyada oo loo marayo mashruuc sare.
Qaabkee ayaa markii ugu horreysay soo bandhigay Feejignaanta Daahsoon ee Madax-badan?
MLA waxaa soo bandhigay DeepSeek qaabkeeda DeepSeek-V2 waxaana loo qaaday DeepSeek-V3.
Muxuu MLA ugu baahan yahay waddo 'kala go'ay' gaar ah oo loogu talagalay dhejinta booska wareega?
Isbeddelka wareegtada looma nuugi karo miisaannada kale ee miisaanka, sidaas darteed MLA wuxuu hayaa qayb yar oo muhiim ah oo la kala saaray si uu u qaado macluumaadka booska.
Qiyaastii intee in le'eg ayay hoos u dhigtay xusuusta KV-cache ee DeepSeek-V2 ka soo warbixisay MLA iyo dareenka madax-madaxeed ee caadiga ah?
DeepSeek-V2 ayaa sheegtay in la jaray xusuusta KV-cache in ka badan 90%, taas oo awood u siisay duruufo dhaadheer iyo dufcooyin waaweyn.