UQhagamshelwano olukhawulezayo lwe-KV ngeNgqwalasela yokuFaniswa

\u003ch2\u003eFast KV Compaction via Attention Matching\u003c/h2\u003e \u003cp\u003eEli nqaku libonelela ngolwazi oluxabisekileyo kunye nolwazi ngesihloko salo, igalelo ekwabelaneni ngolwazi kunye nokuqonda.\u003c/p\u003e \u003ch3\u003eIzinto eziThathayo ezingundoqo\u003c/h3\u003e \u003cp\u003e Abafundi banokulindela ukufumana:\u003c/p\u003e \u003cul\u003e \u003cli\u003eUkuqonda nzulu umbandela\u003c/li\u003e \u003cli\u003eUsetyenziso olusebenzayo kunye nokufaneleka kwehlabathi lokwenyani\u003c/li\u003e \u003cli\u003e Iimbono zeNgcali kunye nohlalutyo\u003c/li\u003e \u003cli\u003eUlwazi oluhlaziyiweyo kuphuhliso lwangoku\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003e ixabiso leSindululo\u003c/h3\u003e \u003cp\u003eUmgangatho womgangatho onje unceda ukwakha ulwazi kwaye ukhuthaze ukuthathwa kwezigqibo ezinolwazi kwiindawo ezahlukeneyo.\u003c/p\u003e

Imibuzo Ebuzwa Rhoqo

Yintoni i-KV compaction kwaye kutheni ibalulekile kwiimodeli zeelwimi ezinkulu?

I-KV (i-key-value) ukucutha kubhekiselele kwinkqubo yokunciphisa ubungakanani be-cache ye-KV leyo imifuziselo yolwimi esekwe kwi-transformer igcina ngexesha lokucinga. Njengoko ubude bomxholo bukhula, i-cache ye-KV isebenzisa imemori ebalulekileyo, isizukulwana esicothayo kunye nokunciphisa umda wokuphuma. Ukudibanisa okusebenzayo kuvumela iimodeli ukuba zilawule iimeko ezinde ngaphandle kwememori ehambelanayo, ephucula ngokuthe ngqo isantya sokuphendula kunye nobukhulu bezicelo kunye namaqonga e-AI.

Ungqamaniso lwengqwalasela luphucula njani isantya sokudibanisa xa kuthelekiswa neendlela zemveli?

I-KV yesiqhelo yokuthena i-cache ixhomekeke kwi-heuristics efana nomvanje okanye amanqaku aphindaphindwayo, anokulahla iithokheni ezisabalulekile. Ukuthelekisa ingqwalaselo endaweni yoko kusebenzisa iipatheni zengqwalasela zemodeli ukuchonga ukuba ngawaphi amangeno e-KV angafunekiyo ngokwenene. Ngokulungelelanisa izigqibo zokudibanisa kunye nobunzima bokwenene bengqwalasela, indlela ifezekisa ngokukhawuleza, ukucutha kwe-cache echanekileyo kunye nokuthotywa komgangatho omncinci, okwenza ukuba kubaluleke kakhulu kwiindawo zemveliso ezithintekayo.

Ngaba obu buchule bunokusetyenziswa kwizixhobo ze-AI zangempela kunye namaqonga?

Ewe — ukucutha kwe-KV okukhawulezileyo ngokuthelekisana ingqwalasela kuyasebenza kakhulu kwiinkqubo ze-AI zemveliso. Iiplatforms ezifana Mewayz, ezinikezela ngeemodyuli ezihlanganisiweyo ze-207 nge-$ 19 kuphela / ngenyanga, inokunyusa ukulungelelaniswa okunjalo ukuqhuba imithwalo yemisebenzi ye-AI esebenzayo kwi-toolset yabo. Ukunciphisa i-inference overhead kuthetha iimpendulo ezikhawulezayo, iindleko eziphantsi zokubala, kunye nokukwazi ukuxhasa ixesha elide, ukusebenzisana kwabasebenzisi ngaphandle kokuncama ukusebenza okanye ukuthembeka.

Ngaba ndifuna i-hardware ekhethekileyo ukuze ndixhamle kwiindlela zokuhlanganisa ze-KV?

Akunjalo. Ngelixa ii-GPU eziphezulu zikhawulezisa inkqubo, ukuhambelana ngqalelo kugxininiso lwenqanaba lesoftware elinokuthi livelise izibonelelo kulo lonke uluhlu lolungelelwaniso lwehardware. Abaphuhlisi abadibanisa iimpawu ze-AI kumsebenzi wabo wokuhamba - umzekelo, ukusebenzisa iiplatifomu ezifana Mewayz (iimodyuli ze-207, i-$ 19 / mo) - inzuzo ngokungangqalanga njengoko imodeli ephantsi yokusebenzela iya iyancipha, ivumela amandla e-AI aphendule ngakumbi ngaphandle kokufuna utyalo-mali lweziseko ezinikezelweyo.