Ukulondoloza isikhashana ngokushesha
Ukulondoloza inqolobane okusheshayo kuvumela imodeli ye-AI ukuthi iphinde isebenzise umsebenzi wokubala eyenzile engxenyeni ephindaphindiwe yombhalo esikhundleni sokuyicubungula njalo.
Uhlolojikelele
It dramatically cuts cost and latency when the same long instructions, documents, or examples appear in request after request.
I-Deep Dive
Uma imodeli yolimi ifunda ukwaziswa, iguqulela yonke ithokheni ibe yizimo zezinombolo ezibizwa ngokuthi amavektha we-key-value (KV) ngokusebenzisa izendlalelo zayo zokunaka. Ngokuvamile lokhu kwenzeka kusha esicelweni ngasinye, ngisho noma u-90% wokwaziswa ufana. Inqolobane esheshayo igcina lezo zifunda ze-KV ezenziwe ngekhompuyutha zesiqalo esimakiwe, ngakho-ke isicelo sakamuva esiqala ngombhalo ofanayo singeqa siqonde engxenyeni entsha. Abahlinzeki abafana ne-Anthropic kanye ne-OpenAI badalula lokhu ngokukuvumela ukuthi uhlabe umkhosi isiqalo esizinzile; amahithi enqolobane akhokhiswa ngesaphulelo esikhulu (ngokuvamile isaphulelo esingu-90% sezindleko zokufaka) futhi aphendule ngokushesha. Ilungele ama-chatbots anemiyalo yesistimu engaguquki, amapayipi e-RAG asebenzisa kabusha amadokhumenti afanayo, noma abenzeli abadlala kabusha imilando emide.
I-Technical Insight
Ukulondoloza isikhashana kusebenza ngoba ukunakwa kwe-transformer kuyimbangela: ithokheni ngayinye ibheka amathokheni angaphambi kwayo kuphela. Ngakho-ke i-KV ithi isiqalo asilokothi sishintshe lapho ufaka amathokheni amasha kamuva. Inqolobane ifakwe ukhiye wokufanisa okufanayo kwethokheni yethokheni yaleso siqalo, yingakho ngisho nokuhlelwa kohlamvu olulodwa kusenesikhathi kuvimbela yonke into engezansi. Izinqolobane zihlala isikhathi esifushane (imizuzu), zigcinwa ngomhlinzeki ngamunye, futhi i-cacheable block ngokuvamile kufanele idlule isibalo esincane samathokheni.
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 Lokugcinwa Kwesikhashana Esisheshayo
Lindela ukugcinwa kunqolobane ukuthi kuzenzekele futhi kuphile isikhathi eside, nabahlinzeki abathola ububanzi obusebenziseka kabusha kunokudinga omaka okwenziwa ngesandla. Ukugcinwa kwesikhashana kwe-Hierarchical kanye nengxenye kungase kuvumele ukuhlela phakathi kokuthi kusetshenziswe kabusha amasegimenti angashintshiwe kunoma yiluphi uhlangothi. Njengoba ama-ejenti eshintshana ngezimo ezinkulu kanye nomlando wamathuluzi, izikhathi eziningana kanye nezinqolobane ezabiwe zabasebenzisi zokwaziswa kwesistimu evamile kuzoba ukhiye ekwenzeni izimo zethokheni eziyisigidi zisebenze ngokwezomnotho, futhi amamodeli akudivayisi azosebenzisa ukusetshenziswa kabusha kwe-KV okufanayo ukuze kucatshangwe endaweni ngokushesha.
Ukuqaliswa Komhlaba Wangempela
I-chatbot yokusekelwa kwamakhasimende igcina inqubomgomo yayo yamathokheni angu-5,000 kanye nesistimu yethoni ukuze wonke umlayezo womsebenzisi ukhokhe kuphela inani eligcwele lombuzo omusha.
Uhlelo lokusebenza lwe-retrieval-augmented (RAG) lugcina idokhumenti enkulu eyisithenjwa kanye, bese luphendula imibuzo eminingi mayelana nalo ngengxenye yezindleko.
Umsizi wokubhala amakhodi ugcina okuqukethwe kwe-codebase enkulu noma ifayela njengesiqalo esigxilile kuyilapho unjiniyela ebuza imibuzo yokulandelela elandelanayo.
I-ejenti ye-AI igcina umbhalo wayo omude, okhulayo wokusetshenziswa kwamathuluzi ukuze isinyathelo ngasinye esisha singakhokhi kabusha yonke ingxoxo yangaphambili.
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
I-AI Prompt Security
Imibuzo evame ukubuzwa
What is Prompt Caching?
Ukulondoloza inqolobane okusheshayo kuvumela imodeli ye-AI ukuthi iphinde isebenzise umsebenzi wokubala eyenzile engxenyeni ephindaphindiwe yombhalo esikhundleni sokuyicubungula njalo. Kwehlisa kakhulu izindleko nokubambezeleka lapho imiyalo ende efanayo, amadokhumenti, noma izibonelo zivela esicelweni ngemva kwesicelo.
Yini egcina inqolobane esheshayo ngokuyinhloko futhi iphinde isetshenziswe?
Ukugcinwa kunqolobane kusindisa ukunakwa kwe-KV okubalwe kusiqalo esizinzile ukuze kungadingeki kubalwe kabusha esicelweni ngasinye.
Kungani kufanele isiqalo esifakwe kunqolobane sifane ncamashi, ithokheni yethokheni?
Njengoba ithokheni ngalinye libheka amathokheni angaphambili kuphela, ukushintsha ithokheni yangaphambi kwesikhathi kwenza wonke umbuso oncike kuwo ungasebenzi, kwephula inqolobane.
Isiphi isimo esizuzisa KAKHULU ekugcinweni kwesikhashana okusheshayo?
Ukugcinwa kunqolobane kuyakhokha uma ingxenye enkulu, efanayo iphinda isetshenziswe ezicelweni eziningi, njengokwaziswa kwesistimu egxilile noma idokhumenti eyabiwe.
Cishe ishibhe kangakanani i-cache hits kumathokheni okokufaka nabahlinzeki abakhulu?
Abahlinzeki bavamise ukukhokhisa okokufaka okufakwe kunqolobane cishe kusaphulelo esingu-90% esilinganisweni esivamile sokufakwayo, isizathu esiyinhloko sokugcinwa kwesikhashana konga imali.
Okuqukethwe okusebenzisekayo kabusha kufanele kubekwe kuphi ukuze kwandiswe amahithi enqolobane?
Ukubeka okuqukethwe okuzinzile kuqala njengesiqalo kanye nokushintsha okuqukethwe kamuva kuvumela isiqalo esifakwe kunqolobane siphinde sisetshenziswe kuyilapho kusetshenzwa amathokheni amasha kuphela.