TL; DR #
Ko ngā MLOps (ngā mahi ako mīhini) te huinga mahi e tango ana i tētahi tauira ako mīhini mai i tētahi whakamātautau ki tētahi pūnaha whakaputa pono, ā, ka pupuri tonu i tōna pono i muri mai. Ka whakakotahi i te aunoatanga DevOps me ngā wāhanga kāore i mahia e DevOps: te whakaputa raraunga, te whakangungu tauira, te rēhita tauira me te aroturuki mō te nekeneke. Mā ngā MLOps ka taea te tukurua i ngā tauira ki te tuku. Mā te haumarutanga MLOps ka whakarite kia taea te whakawhirinaki ki ngā mea e tukuna ana, me ngā mea katoa e whakawhirinakihia ana e ia.
He aha ngā MLOps? #
He tauira e mahi ana i roto i te koreebook ehara i te hua. Ka riro hei hua ina taea te whakangungu anō ki ngā raraunga hou, te whakatinana me te kore e tukuna ā-ringa, te whakakore ina hē te whanonga, me te whakamārama ina pātai te kaitātari i tōna pūtake.
Koinā te āputa e tū ai te nuinga o ngā kaupapa ako mīhini. Ko te pepa a Google e whakahuatia whānuitia ana Nama Hangarau Huna i roto i ngā Pūnaha Ako Mīhini i whakaatuhia he wāhanga iti noa iho te waehere tauira o tētahi pūnaha ML tūturu. Ko te toenga ko te kohikohi raraunga, te tango āhuatanga, te whirihoranga, te ratonga hanganga me te aroturuki, ā, koinei te wāhi e kohia ai te nama.
Ko ngā MLOps te kaupapa e whakahaere ana i taua toenga. Ka whakamahia ngā mātāpono o DevOps (aunoatanga, whakahaere putanga, tuku tonu, mana whakahaere tiritahi) ki tētahi pūnaha e whakawhirinaki ana te whanonga ki ngā raraunga me te waehere. Nō reira, ko te tīma e pātai ana he aha te MLOps kei te pātai tonu me pēhea te hanga tauira hei mea ka taea e te whakahaere te whakahaere, kaua ko te hanga noa iho. → He aha te haumarutanga AI?
Ko te rerekētanga e hira ana: i roto i te pūmanawa, ko te waehere kotahi ka whakaputa i te whanonga kotahi. I roto i te ako mīhini, ko te waehere kotahi i whakangungua ki ngā raraunga rerekē ka whakaputa i tētahi tauira rerekē. Kei te noho ngā MLOps nā te mea ko ngā raraunga te puna tuarua o ngā huringa.
Te tikanga o ngā MLOps: ngā mea e kapi ana i te kupu #
He rerekē te tikanga o ngā MLOps i waenga i ngā kaihoko, nō reira he āwhina ki te kī i te rohe. E rima ngā wāhanga o te kupu:
- Te whakahaere raraunga. Te whakaputa putanga o ngā huinga raraunga, te whakamana i tōna kounga me te aroturuki ko ēhea raraunga i whakangungu i tēhea tauira.
- Te whakamātautau me te whakangungu. Te aroturuki i ngā whakamātautau, ngā tawhā me ngā hua kia taea ai te tārua i te tauira, kaua e maumahara noa.
- Rēhita tauira. He pūkete kotahi mō ia putanga tauira, tōna whakapapa, tōna aromatawai me tōna mana whakaae.
- Te tuku me te mahi. aunoa pipelinee tākai ana, e whakamātautau ana, e whakatinana ana hoki i ngā tauira ki ngā pūwāhi whakatau, tae atu ki te whakangungu tonu ina tae mai ngā raraunga hou.
- Te aroturuki. Te mātakitaki i ngā tauira whakaputa mō te rerekētanga o ngā raraunga, te rerekētanga o ngā ariā me te hekenga o te mahi, me te whakaoho i te whakangungu anō ina heke.
Ngā mea kāore e hipokina ana e ia anake: te haumarutanga o ngā wāhanga o te tauira pipeline ka tō mai. Koinei te wāhi e tangohia ai te mana o te haumarutanga o MLOps, me ōna kupu tata i raro nei.
He aha i noho ai a MLOps hei kaupapa ake māna #
Nā te mea ka pirau ngā tauira i tētahi ara kāore te waehere e pirau. Ka noho tika tonu te mahi i tuhia tika. Ka mutu te taurite o te tauira tinihanga i whakangungua mō ngā tauwhitinga o te tau kua hipa ki ngā whanonga o tēnei tau, me te kore he huringa ki tētahi rārangi waehere kotahi. Ki te kore he aroturuki me te whakangungu anō, ka memeha puku te tika.
Nā te tauine i kore ai e taea te karo. Ka taea te whakahaere ā-ringa i tētahi tauira. He maha ngā tauira, ia tauira i whakangungua anō i runga i tana ake wātaka, ia tauira i runga i tana ake huinga raraunga, anga me ngā taumaha kua whakangungua i mua, kāore e taea. Nā ngā MLOps i huri taua mahi hei pipelines.
Kātahi ka tae mai te mekameka tuku. Kāore i te maha ngā wā ka tīmata te ML hou mai i te kore. Ka tangohia e ngā tīma ngā tauira kua whakangungua mai i ngā pokapū tūmatanui, ka whakawhirinaki ki ngā anga tuwhera nui, ka whakatikatika i ngā raraunga tuatoru. He wāhanga ia o ia mea i hangaia e tētahi atu. Ka taea e ētahi hōputu raupapatanga tauira te whakahaere waehere ina utaina he kōnae, ko te tikanga ka taea e te tango i tētahi tauira te kawe i te mōrearea rite ki te tāuta i tētahi mōkihi kāore i te whakawhirinakihia. → He aha te paihana raraunga?
Te hoahoa tohutoro a Google Cloud, MLOps: Tukunga tonu me te aunoatanga pipelines i roto i te ako mīhini, e whakaahua ana i te pakeketanga i roto i ngā taumata e toru: ngā tukanga ā-ringa (taumata 0), te whakangungu aunoa pipelines (taumata 1) me te aunoa CI/CD o te pipelineko rātou anō (taumata 2). Ko te nuinga o ngā whakahaere kei waenganui i ngā mea tuatahi e rua.
Ka whakautua aunoatia e te mahi MLOps pakeke ngā pātai katoa o te ripanga. Ka tāpirihia e te mahi e mōhio ana ki te haumarutanga he pātai tuaono i ia wāhanga: he aha te mea i whakawhirinaki ai tēnei taahiraa, ā, ka mōhio tātou mēnā ka rerekē? Hei whakautu, me whai rarangi AI kei waho o tētahi pipeline.
He aha te mea ehara i te MLOps? Ngā kupu tata #
I whakaputa te Kaupapa Haumarutanga OWASP GenAI i ngā Tono LLM 10 Pai rawa atu mō te tau 2026, ā, ko ēnei te whakamahinga tauwhitiwhiti, ka whakararuraru i ngā kōrero mō ngā taputapu me te mana whakahaere.
- AI te mana whakahaere e whakatakoto ana i ngā kaupapa here, ngā ture kawenga me ngā ture tutuki e tika ana mō ngā MLOp pipelinekātahi ka whakamanahia. → He aha te whakahaere o te AI?
- DevOps ka aunoa i te tukunga o te pūmanawa. Ka whakawhānuihia e MLOps mā te raraunga, te whakangungu me te aroturuki tauira, kaua ki te whakakapi.
- Ngā Mahi Raraunga e arotahi ana ki ngā raraunga pipelinerātou anō: te kounga, te hou me te tuku raraunga ki ngā kaihoko tātari me ngā kaihoko ML.
- Ngā Mahi Tauira ko te whakahaere whānui o ngā tauira tātari me te AI katoa i roto i te whakaputa, tae atu ki ngā tauira e hangai ana ki ngā ture me ngā tauira arotau, ehara i te ako mīhini anake.
- Ngā Mahi Whakahaere ka urutau i ngā MLOps ki ngā tauira reo nui: te whakahaere tere, te tiki pipelines, te aromatawai i te putanga i puta me te whakahaere utu.
- Ngā Mahi MLSec ka kawea mai te haumarutanga ki roto i te huringa ora o te ML: te pūtake o te tauira, pipeline te pono, te mōrearea whakawhirinakitanga me ngā tūmomo riri hoariri. Ko te paparanga haumarutanga o ngā MLOps, ehara i te tukanga whakataetae.
He hunga paparanga rātou, ehara i te hunga whakataetae. Kua aunoatia e tētahi whakahaere e whakahaere ana i ngā MLOp me te kore he haumarutanga MLOp tana tukunga. pipeline me te kore e tirotiro i ngā mea e rere ana i roto.
Ngā Anga e Hanga Ana i ngā MLOps Te Tikanga o te Mōrearea #
Arotakehia tētahi anga i runga i te mana o te whakaputanga, kaua i runga i tōna āhua hou.
He whaiti te hanganga pono mō ngā tuhinga. Ko ngā mahi tuhinga hangarau a te EU AI Act mō ngā pūnaha mōrearea nui me te Cyber Resilience Act SBOM Ka hangaia e ngā herenga he whakaritenga taunakitanga tūturu. Ka āwhina te rarangi taonga AI me te AI-BOM ki te whakatutuki i ēnei. Kāore tetahi o ngā ture e whakaingoa i tētahi AI-BOM, ā, kāore hoki e hiahiatia he taputapu MLOps motuhake.
Mai i te whakamāramatanga ki te hōtaka #
Kāore te mōhio ki te tikanga o ngā MLOps o te whakapapa tauira i te rite ki te mōhio ki ngā tauira, ngā huinga raraunga me ngā anga kua honoa ki ō ake putunga raraunga.
Ka kati taua āputa i roto i tētahi raupapa e taea te matapae. Tirohia ia rawa AI āu pipelinee whakawhirinaki ana ki, tae atu ki ērā kāore i rēhitatia. Maherehia te āhua o tā rātou hononga, kia mōhio ai koe ko tēhea huinga raraunga e whāngai ana i tēhea tauira me tēhea pito mutunga e mahi ana. Kātahi ka kaweake i taua rekoata hei AI-BOM ka taea e ngā kaitirotiro, ngā kiritaki me tō ake urupare aituā te whakamahi.
Haumarutanga AI Xygeni Ka hangaia taua rekoata mai i tō waehere. Ka pupuri tonu i tētahi rarangi AI tonu o ngā tauira, ngā anga AI, ngā huinga raraunga, ngā pito whakatau, ngā kaihoko me te toenga o tō tapuwae AI, me te kaute mōrearea, te kaiwhakarato, te momo me te wāhi tika i roto i te waehere mō ia rawa. Ka whakaatuhia e te kauwhata AI ko tēhea huinga raraunga e whāngai ana i tēhea tauira me te wāhi e arotahi ana te mōrearea, ā, ka kaweakehia e te AI-BOM ka taea te pānui e te mīhini mai i te kitenga kotahi. Ō MLOps pipeline kei te tuku tonu i ngā tauira; ka kōrero a Xygeni ki a koe he aha te hanganga o aua tauira. Mō ngā ariā matua, tirohia He aha te AI BOM? a He aha te rarangi taonga AI?
Whakatakotoria he demo kia kite i tō ake rarangi taonga AI me te AI-BOM.
FAQ #
Ko ngā mahi me te aunoatanga e āhei ai tētahi tīma ki te whakangungu, ki te tuku, ki te aroturuki me te whakangungu anō i ngā tauira ako mīhini me te pono, pērā i te mahi a DevOps mō te pūmanawa.
Ka whakahaere a DevOps i ngā huringa waehere. Ka whakahaere a MLOps i ngā huringa waehere me ngā huringa raraunga, nā te mea ka whakawhirinaki te whanonga o te tauira ki ngā raraunga i whakangungua ai. Ka tāpirihia e tēnā te putanga raraunga, te whakangungu. pipelines, he rēhita tauira me te aroturuki i te nekenekehanga.
Te whakamahi i te haumarutanga ki te huringa ora o te ML: te manatoko i te pūtake mai o ngā tauira me ngā huinga raraunga, te tiaki i te whakangungu me te whakatinanatanga pipelines, me te aroturuki i ngā whakawhirinakitanga e whakawhirinakihia ana e te tauira. He maha ngā wā ka kiia ko MLSecOps.
He pūnaha ka taea te mahi i ngā mahi maha atu, me ngā whakaaetanga maha atu, ā, he motuhake ake i tā te mahi e hiahiatia ana. Ehara i te mea taunoa. Ka tuhia e te rēhita tauira ngā putanga tauira me te whakapapa mō te tīma ML. Ko te rarangi AI, me te AI-BOM i kaweake mai i reira, he standardHe rekoata kua oti te whakarite, ka taea te pānui e te mīhini o ngā wāhanga AI i hangaia mō ngā kaitātari kaute, ngā kiritaki me ngā tīma haumarutanga. Ka tautoko tetahi i tetahi.
He hangarau ML, he tīma tūāpapa rānei te nuinga. Te haumarutanga o te pipeline e tohaina ana: ko te tīma ML te rangatira mō te tuku, ā, ko te haumarutanga tono te rangatira mō ngā whakawhirinakitanga me ngā wāhanga e whakawhirinakihia ana e te tuku.
