CI/CD don Koyan Injin
CI/CD don koyon inji yana haɓaka ci gaba da haɗin kai da ci gaba da bututun isarwa don rufe ba kawai lamba ba, har ma bayanai da ƙira.
Dubawa
It automates testing, retraining, validation, and deployment so ML systems ship reliably and repeatedly instead of through fragile manual handoffs.
Zurfafa nutsewa
CI/CD na gargajiya yana sarrafa gini, gwaji, da tura software lokacin da lambar ta canza. ML yana ƙara ƙarin sassa guda biyu masu motsi: bayanai da samfurin horarwa, wanda ke nufin sabbin abubuwan da ke haifar da sabbin abubuwa. Ci gaba da mataki na haɗin kai na iya gudanar da gwaje-gwajen naúrar akan lambar sarrafa bayanai, inganta tsarin saitin bayanai, da kuma duba cewa ƙirar tana yin jirgin ƙasa ba tare da kurakurai ba. Ci gaba da bayarwa yana tattara samfurin (sau da yawa azaman akwati ko kayan tarihi mai rijista) kuma yana tura shi bayan API. Ƙungiyoyi da yawa suna ƙara ci gaba da horarwa (CT): bututun da ke sake horarwa ta atomatik lokacin da sabbin bayanai suka zo ko lokacin da sa ido ya gano tuƙi. Kayan aiki kamar GitHub Actions, GitLab CI, Jenkins, Kubeflow Pipelines, da CML suna tsara waɗannan matakan. Manufar iri ɗaya ce da a cikin software - sauri, aminci, sakewa mai maimaitawa - amma yankin saman ya fi girma saboda halayen ƙirar ya dogara da bayanai, ba lamba kawai ba.
Fahimtar Fasaha
Bututun ML CI/CD yawanci jadawali ne na matakai: ingantattun bayanai, jirgin ƙasa, kimantawa da tsarin da aka gudanar kuma akasin tsarin samarwa na yanzu, da tura kofa akan ma'auni. Bambanci mai mahimmanci daga CI/CD na al'ada shine ƙofar kimantawa - ƙirar kawai tana haɓaka idan ta doke tushe akan ma'aunin da aka yarda, ba kawai idan gwaje-gwaje sun wuce ba. Ana sarrafa bututun bututu kuma ana haifar da su ta hanyar aikata lambobi, sabbin bayanai, ko jadawalin jadawalin, suna samar da abubuwan da za'a iya maimaitawa, gudanar da bincike.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar CI/CD don Koyan Injin
CI/CD don ML yana haɓaka cikin tsarin dandamali na MLOps wanda ke sarrafa bututu, rajista, saka idanu, da juyawa a wuri ɗaya. Yi tsammanin ƙarin madaukai na sake horarwa ta atomatik wanda aka jawo ta hanyar gano drift, da tsarin 'GitOps' inda aka ayyana sigar ƙirar da ake so a cikin repo kuma an daidaita ta atomatik. Don manyan nau'ikan harshe, bututun bututu suna ƙara ɗakunan kimantawa ta atomatik, ƙungiyar jajayen aiki, da duban layin dogo kafin fitarwa. Iyakar tana da cikakken sarrafa kanta, isar da manufofi inda samfurin ke ci gaba ta hanyar tsarawa kawai bayan wucewa mai ƙima, gaskiya, da ƙofofin aminci.
Aiwatar da Gaskiyar Duniya
Ƙungiyar zamba tana amfani da GitHub Actions don haka kowace lamba ta sake horar da ƙaramin ƙirar kuma ta toshe haɗin idan daidaito ya faɗi ƙasa da tushen samarwa na yanzu.
Kamfanin kasuwancin e-commerce yana gudanar da bututun Kubeflow wanda ke horar da mai ba da shawararsa dare da rana kan sabbin bayanan siyayya da tura kai tsaye kawai idan awo na kan layi ya inganta.
Bututun banki yana gudanar da ingantaccen tsari akan bayanai masu shigowa kuma ya gaza gina ginin idan rarraba fasalin ya wuce matakin da aka saita.
Ƙungiya ta ML tana amfani da CML don ƙaddamar da rahotannin kimanta samfuri da kuma kwatancen filaye kai tsaye cikin kowane buƙatun ja don sa hannun mai bita.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
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Jagora na gaba
Tushen Koyon Inji
Tambayoyin da ake yawan yi
What is CI/CD for Machine Learning?
CI/CD don koyon inji yana haɓaka ci gaba da haɗin kai da ci gaba da bututun isarwa don rufe ba kawai lamba ba, har ma bayanai da ƙira. Yana sarrafa gwaji, sake horarwa, tabbatarwa, da turawa don haka tsarin ML yana jigilar dogaro da kai akai maimakon ta hannun hannu mai rauni.
Menene CI/CD don koyon inji ke ƙarawa fiye da CI/CD software na gargajiya?
ML CI/CD dole ne ya kula da ingantattun bayanai, horon ƙima, da ƙima na ƙima baya ga matakan gina-da-gwaji na yau da kullun.
Menene 'CT' a cikin mahallin bututun ML yakan tsaya ga?
Ci gaba da Horon (CT) yana nufin ƙira ta atomatik lokacin da sabbin bayanai suka zo ko aka gano faifai.
Menene keɓancewar 'ƙofa' a cikin bututun ML CI/CD wanda bututun software na yau da kullun suka rasa?
Ana haɓaka samfura bisa ko sun fi ƙima akan ma'auni da aka amince da su, ba kawai a kan cin gwajin naúrar ba.
Wanne daga cikin waɗannan kayan aikin da aka saba amfani da shi don tsara bututun ML?
Kubeflow Pipelines, tare da GitHub Actions, GitLab CI, Jenkins, da CML, ana amfani da su sosai don ML CI/CD.
Me yasa bututun ML zai iya haɗawa da matakin tabbatar da tsarin bayanai?
Tabbatar da tsare-tsare da rarrabawa yana kama mummuna ko canja bayanai da wuri, yana hana ingantaccen samfurin horarwa da tura shi.