Jagorar Fasaha

Cigaban Batching

Ci gaba da batching dabara ce da ke ƙarawa da cire buƙatun daga alamar batch token-by-token, maimakon jira gabaɗayan ƙayyadaddun tsari don gamawa.

Dubawa

Ci gaba da batching dabara ce da ke ƙarawa da cire buƙatun daga alamar batch token-by-token, maimakon jira gabaɗayan ƙayyadaddun tsari don gamawa. Yana sa GPU ta kasance cikin aiki koyaushe kuma yana ƙaruwa da yawa masu amfani da ƙirar AI za su iya yin hidima a lokaci ɗaya.

Ci gaba da Batching wani shingen ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, jinkiri, da aminci a sikeli.

Zurfafa nutsewa

GPUs sun fi sauri lokacin da suke aiwatar da buƙatun da yawa tare a cikin tsari. Hanyar butulci, batching a tsaye, ƙungiyoyin ƙayyadaddun buƙatun, gudanar da su duka har zuwa ƙarshe, sannan a fara tsari na gaba. Matsalar: Samfurin samfurin harshe ya bambanta da tsayi sosai, don haka gajerun buƙatun suna ƙarewa da wuri kuma ramummuka suna zama marasa aiki yayin da tsari ke jira mafi tsayi, ɓata zagayowar GPU da jinkirta sabbin masu shigowa. Ci gaba da batching (wanda kuma ake kira a cikin jirgin sama ko matakin batching, wanda takardar Orca ta shahara kuma ana amfani da shi a cikin vLLM, TensorRT-LLM, da TGI) yana aiki da girman matakin yanke hukunci guda ɗaya. Bayan an ƙirƙiro kowane alamar, jerin abubuwan da aka gama suna fita cikin tsari kuma ana shigar da buƙatun da suka zo nan take. Wannan yana kiyaye tsari cikakke kuma GPU cikakke, galibi yana haɓaka kayan aiki sau da yawa tare da ƙarancin jinkiri don masu amfani da jira.

Fahimtar Fasaha

Maɓallin maɓalli shine daga daidaita buƙatun gabaɗayan zuwa batching na kowane ɗaiɗai. A kowane mataki mai tsara jadawalin yana gina saiti mai aiki: yana tafiyar da wucewa gaba ɗaya akan duk jeri na cikin jirgin, yana fitar da alama guda ɗaya kowanne, korar duk wanda ya buga alamar ƙarshen jerin ko iyaka, kuma yana yarda da buƙatun layi don cike wuraren da aka 'yantar. Haɗa wannan tare da ma'aunin KV na PagedAttention yana sa sakawa da cire jerin jeri a tsakiyar jirgin yana da arha, tun da ma'ajin kowane jeri yana rayuwa a cikin tubalan masu zaman kansu.

Jagoran Ci gaba da Batching

Ci gaba da batching dabara ce da ke ƙarawa da cire buƙatun daga alamar batch token-by-token, maimakon jira gabaɗayan ƙayyadaddun tsari don gamawa. Yana sa GPU ta kasance cikin aiki koyaushe kuma yana ƙaruwa da yawa masu amfani da ƙirar AI za su iya yin hidima a lokaci ɗaya. Ci gaba da Batching wani shingen ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, jinkiri, da aminci a sikeli. Don gina zurfin fahimta, bi Ci gaba da Batching a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu ke buƙatar yanke hukunci na ƙwararru.

A aikace, ƙungiyoyi masu ƙarfi da ke amfani da Ci gaba da Batching suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa tare da dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.

Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.

Dabarun Tasiri

Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.

Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.

Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.

Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Makomar Cigaban Batching

Ci gaba da batching yanzu daidai yake a samarwa LLM hidima. Aiki na gaba yana sake daidaita mai tsara jadawalin: raba lokacin prefill-nauyi mai nauyi daga lokacin yanke hukunci mai sauƙi (rarrabuwa), prefill prefill don gujewa yanke yanke hukunci, fifiko da tsare-tsare na ayyuka masu gauraya, da ƙaƙƙarfan haɗawa tare da ƙididdige ƙima don haka ana tabbatar da daftarin alamu da yawa kowane mataki. Manufar ita ce matsi matsakaicin alamomi-da-biyu a kowane GPU yayin da ke kiyaye ƙarancin jinkirin amsawar mutum da abin iya faɗi.

Aiwatar da Gaskiyar Duniya

API ɗin taɗi yana shigar da sabbin saƙon mai amfani da ya shigo cikin rukunin da ke gudana kai tsaye maimakon yin layi don tsari na gaba.

Korar gajeriyar amsawar da aka kammala a tsakiyar tsari tare da cika ramin sa don haka GPU ba ta daina jiran dogon zamani

Haɗa ci gaba da batching tare da vLLM's Paged Hankali don sakawa da cire jerin abubuwa cikin arha a kowane mataki

Sabis ɗin kammala lambar da ke ɗaukar manyan alamu-da biyu a ƙarƙashin fashe, zirga-zirga mai tsayi mai tsayi ta hanyar kiyaye tsari cikakke.

Hanyoyin Aiwatarwa

Ci gaba da Batching a aikace

API ɗin taɗi yana shigar da sabbin saƙon mai amfani da aka shigo cikin rukunin da ke gudana kai tsaye maimakon yin layi don tsari na gaba.

API ɗin taɗi yana shigar da sabbin saƙon mai amfani da ya shigo cikin tsari mai gudana kai tsaye maimakon yin layi da su don ƙungiyoyi na gaba yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.

Ci gaba da Batching a aikace

Fitar da ɗan gajeren amsawar da aka kammala a tsakiyar tsari da kuma cika ramin sa don haka GPU ba ta daina jiran dogon zamani ba.

Fitar da ɗan gajeren amsawar da aka kammala a tsakiyar tsari da sake cika ramin sa don haka GPU ba ta daina jiran dogon ƙarni Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.

Ci gaba da Batching a aikace

Haɗa ci gaba da batching tare da vLLM's Paged Hankali don sakawa da cire jeri a rahusa a kowane matakin yanke lamba.

Haɗa ci gaba da batching tare da vLLM's Paged Hankali don sakawa da cire jeri a rahusa a kowane matakin yanke ƙididdiga Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.

Ci gaba da Batching a aikace

Sabis ɗin kammala lambar yana ɗaukar manyan alamu-da biyu a ƙarƙashin fashe, zirga-zirga mai tsayi mai tsayi ta hanyar kiyaye tsari cikakke.

Sabis na kammala lambar da ke ɗaukar manyan alamu-da biyu a ƙarƙashin fashe, zirga-zirga mai tsayi mai tsayi ta hanyar kiyaye cikakken ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefen, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.

Hatsari & Tsare-tsare

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Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.

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Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.

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Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.

Taswirar Hanya

1

Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.

Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

2

Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.

Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

3

Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.

Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

4

Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.

Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

Ci gaba da Bincike