Whakautu poto: Ko te AI i roto i te rorohiko kapua e pā ana ki te whakamahi i ngā tūāpapa kapua hei penapena raraunga, hei reti i te rorohiko, hei whakangungu i ngā tauira, hei whakatinana i a rātou hei ratonga, me te aroturuki i a rātou i roto i te whakaputanga. He mea nui tēnei nā te mea ko te nuinga o ngā hapa ka noho ki ngā raraunga, te whakatinanatanga, me ngā mahi, ehara i te pāngarau. Mena kei te hiahia koe ki te tauine tere, ki ngā tukunga tukurua rānei, ko te kapua me ngā MLOps te huarahi whai hua.
Ngā kōrero matua hei whakaaroaro:
Huringa Ora : Raraunga whenua, āhuatanga hanga, whakangungu, whakatinana, kātahi ka aroturuki i te nekenekehanga, te whakaroa, me te utu.
Whakahaere : Hangaia ngā mana whakahaere urunga, ngā rangitaki arotake, me te wehewehe taiao mai i te tīmatanga.
Te Whakaputa Anō : Tuhia ngā putanga raraunga, te waehere, ngā tawhā, me ngā taiao kia noho tonu ai ngā oma ki te tāruarua.
Te whakahaere utu : Whakamahia te puranga, te pupuri raraunga, ngā here tauine aunoa, me te whakangungu ā-wāhi/whakahaere i mua i te utu hei karo i ngā ohorere pire.
Ngā tauira whakatinanatanga : Kōwhiria ngā tūāpapa whakahaeretia, ngā rerengamahi whare roto, Kubernetes, RAG rānei i runga i te mooni o te tīma.
Ngā tuhinga ka pai pea koe ki te pānui i muri i tēnei:
🔗 Ngā taputapu whakahaere pakihi kapua AI tino pai
Whakatauritea ngā tūāpapa kapua matua e whakahaere ana i ngā mahi, te pūtea, me ngā tīma.
🔗 Ngā hangarau e hiahiatia ana mō te AI whakaputa nui
Ngā hanganga matua, ngā raraunga, me te whakahaere e hiahiatia ana hei whakatinana i a GenAI.
🔗 Ngā taputapu AI kore utu mō te tātari raraunga
Ko ngā otinga AI kore utu pai rawa atu hei horoi, hei whakatauira, me te tiro i ngā huinga raraunga.
🔗 He aha te AI hei ratonga?
E whakamārama ana i ngā AIaaS, ngā painga, ngā tauira utu, me ngā whakamahinga pakihi noa.
Te AI i roto i te Rorohiko Kapua: Te Whakamāramatanga Māmā 🧠☁️
Ko te te AI i roto i te rorohiko kapua ko te whakamahi i ngā tūāpapa kapua hei uru atu ki:
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Mana rorohiko (CPU, GPU, TPU) Google Cloud: Ngā GPU mō ngā tuhinga AI Cloud TPU
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Rokiroki (ngā roto raraunga, ngā whare putunga, te rokiroki ahanoa) AWS: He aha te roto raraunga? AWS: He aha te whare putunga raraunga? Amazon S3 (rokiroki ahanoa)
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Ngā ratonga AI (whakangungu tauira, whakatinanatanga, API mō te tirohanga, kōrero, NLP) Ngā ratonga AI AWS Ngā API AI Google Cloud
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Ngā taputapu MLOps (ngā paipa, te aroturuki, te rēhita tauira, CI-CD mō te ML) Google Cloud: He aha ngā MLOps? Vertex AI Model Registry
Engari i te hoko i ō ake taputapu utu nui, ka reti koe i ngā mea e hiahiatia ana e koe, ina hiahiatia ana e koe NIST SP 800-145 . He rite ki te utu i tētahi whare takaro mō tētahi whakangungu kaha, kaua ki te hanga i tētahi whare takaro i roto i tō karāti, kātahi ka kore e whakamahi anō i te mīhini oma. He mea tēnei e pā ana ki te hunga pai rawa atu o tātou 😬
He māmā noa iho: ko te AI te mea e tauine ana, e tuku ana, e whakahōu ana, e mahi ana hoki mā roto i te hanganga kapua NIST SP 800-145 .
He aha te hiranga o te AI me te Kapua 🚀
Kia pono tātou - ko te nuinga o ngā kaupapa AI kāore e rahua nā te mea he uaua te pāngarau. Ka rahua nā te mea ka raru ngā "mea huri noa i te tauira":
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kua marara ngā raraunga
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kāore ngā taiao e ōrite
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ka mahi te tauira i runga i te pona a tetahi engari kāore i hea atu
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ka whakaarohia te whakatinanatanga he mea i muri mai
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Ka tae mai te haumarutanga me te tutuki i ngā ture i te mutunga, pērā i te whanaunga kāore i karangatia 😵
He āwhina ngā tūāpapa kapua nā te mea e tuku ana rātou i:
1) Tauine rapa 📈
Whakangunguhia he tauira ki runga i tētahi taupū nui mō te wā poto, kātahi ka whakawetohia NIST SP 800-145 .
2) Whakamātautau tere ake ⚡
Hurihia ngā pukatuhipoka kua whakahaeretia, ngā paipa kua oti te hanga, me ngā tauira GPU kia tere Google Cloud: Ngā GPU mō te AI .
3) He māmā ake te whakatinanatanga 🌍
Whakatakotoria ngā tauira hei API, hei mahi puranga, hei ratonga tāmau rānei Red Hat: He aha te REST API? SageMaker Batch Transform .
4) Ngā pūnaha raraunga whakauru 🧺
Kei roto i te kapua ngā pūnaha raraunga, ngā whare putunga, me ngā tātari raraunga i te nuinga o te wā. AWS: Whare putunga raraunga vs roto raraunga .
5) Te mahi tahi me te whakahaere 🧩
Kei roto i ngā rēhita Azure ML (MLOps) .
Te Mahi a te AI i roto i te Rorohiko Kapua i roto i te Mahi (Te Rerenga Tuturu) 🔁
Anei te huringa ora noa. Ehara i te putanga "hoahoa tino tika"… ko te mea nohoia.
Hipanga 1: Ka tau ngā raraunga ki te rokiroki kapua 🪣
Tauira: ngā peere rokiroki ahanoa, ngā roto raraunga, ngā pātengi raraunga kapua Amazon S3 (rokiroki ahanoa) AWS: He aha te roto raraunga? Tirohanga whānui a Google Cloud Storage .
Hipanga 2: Te tukatuka raraunga + te hanga āhuatanga 🍳
Ka horoia e koe, ka hurihia, ka waihangahia ngā āhuatanga, ka tukuna atu rānei.
Hipanga 3: Whakangungu tauira 🏋️
Ka whakamahia e koe te rorohiko kapua (he maha ngā GPU) hei whakangungu i a Google Cloud: Ngā GPU mō te AI :
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ngā tauira ML tawhito
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ngā tauira ako hōhonu
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ngā whakatikatika tauira turanga
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ngā pūnaha tiki (ngā tautuhinga momo RAG) pepa Whakaputa-Whakanuia (RAG)
Hipanga 4: Te Whakatakotoranga 🚢
Ka tākaihia ngā tauira, ā, ka tukuna mā roto i:
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Ngā REST API Red Hat: He aha te REST API?
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ngā pito mutunga kore-tūmau SageMaker Whakatau Kore-tūmau
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Ngā ipu Kubernetes Kubernetes: Te Whakatauranga Aunoa o te Pod Whakapae
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ngā paipa whakatau puranga SageMaker Batch Transform Vertex AI ngā matapae puranga
Hipanga 5: Aroturuki + whakahōunga 👀
Ara:
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whakaroa
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tika o te Aroturuki Tauira SageMaker
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te rere o ngā raraunga Vertex AI Model Monitoring
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utu mō ia matapae
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ngā āhuatanga taha e meinga ai koe kia hāhā "kāore e taea tēnei..." 😭
Koinā te miihini. Koinā te AI i roto i te Rorohiko Kapua e neke ana, ehara i te mea he whakamāramatanga noa iho.
He aha te mea e hanga ana i tētahi putanga pai o te AI i roto i te Rorohiko Kapua? ✅☁️🤖
Ki te hiahia koe ki tētahi whakatinanatanga "pai" (kaua ko tētahi whakaaturanga whakahirahira noa iho), arotahi ki ēnei:
A) Wehewehenga mārama o ngā āwangawanga 🧱
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paparanga raraunga (rokiroki, whakahaere)
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paparanga whakangungu (ngā whakamātautau, ngā paipa)
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paparanga mahi (API, tauine)
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paparanga aroturuki (ngā inenga, ngā rangitaki, ngā matohi) SageMaker Model Monitor
Ina whakakotahihia ngā mea katoa, ka huri te rapu huarahi hei kino ki ngā kare ā-roto.
B) Te āheinga tāruarua mā te taunoa 🧪
Mā te pūnaha pai koe e kī, me te kore e whakaroa:
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ngā raraunga i whakangungu i tēnei tauira
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te putanga waehere
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ngā tawhā nui
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te taiao
Ki te mea ko te whakautu "āe, ki taku whakaaro ko te oma o te Tūrei..." kei roto kē koe i te raruraru 😅
C) Hoahoa whai whakaaro ki te utu 💸
He kaha te Cloud AI, engari koinei anō te huarahi māmā ki te waihanga tūpono i tētahi pire e pātai ai koe i ō whiringa oranga.
Ko ngā whakaritenga pai ko:
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te tauine aunoa Kubernetes: Te Tauine Aunoa o te Pod Whakapae
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whakaritenga tauira
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ngā kōwhiringa ka taea te whakarite i mua i te wā e taea ai Amazon EC2 Spot Instances Ngā VM Kapua Ka taea te Whakarite i mua i te wā Google Cloud
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te whakatau i te pupuri me te puranga SageMaker Batch Transform
D) Te haumarutanga me te tutuki i ngā whakaritenga kua tunua ki roto i te 🔐
Kāore e herea ā muri ake nei, pērā i te rīpene paipa ki runga i te paipa turuturu.
E) He ara tūturu mai i te tauira tuatahi ki te hanga 🛣️
Koinei te mea nui. Ko tētahi "putanga" pai o te AI i roto i te kapua ko ngā MLOps, ngā tauira whakatinanatanga, me te aroturuki mai i te tīmatanga Google Cloud: He aha ngā MLOps? . Ki te kore, he kaupapa whakaaturanga pūtaiao me te nama utu ataahua.
Ripanga Whakataurite: Ngā Kōwhiringa AI-i-roto-i-te-Kapua Rongonui (Me te Mā Wai Rātou) 🧰📊
Kei raro nei tētahi ripanga poto, he paku whakaaro noa iho. He whānui ngā utu nā te mea he rite te utu kapua ki te tono kawhe - ehara te utu taketake i te utu 😵💫
| Utauta / Pūhara | hunga whakarongo | Te utu pea | He aha i mahi ai (kei roto ngā tuhipoka rerekē) |
|---|---|---|---|
| AWS SageMaker | Ngā tīma ML, ngā umanga | Utu-i-a-koe-te-whakahaere | Pūhara ML puranga-katoa - whakangungu, pito mutunga, paipa. He kaha, engari kei ngā wāhi katoa ngā tahua. |
| Google Vertex AI | Ngā tīma ML, ngā whakahaere pūtaiao raraunga | Utu-i-a-koe-te-whakahaere | He whakangungu whakahaere pakari + he rēhita tauira + he whakaurunga. He maeneene te ahua ina pāwhiritia. |
| Te Ako Mīhini Azure | Ngā umanga, ngā whakahaere e aro ana ki te MS | Utu-i-a-koe-te-whakahaere | He pai te mahi tahi me te pūnaha Azure. He pai ngā kōwhiringa whakahaere, he maha ngā pātene. |
| Ngā Pereki Raraunga (ML + Lakehouse) | Ngā tīma hangarau raraunga taumaha | Ohaurunga + whakamahinga | He tino pai mō te whakaranu i ngā paipa raraunga me te ML i te wāhi kotahi. He maha ngā wā e paingia ana e ngā tīma mahi. |
| Ngā āhuatanga o te Snowflake AI | Ngā whakahaere tātari-tuatahi | I runga i te whakamahinga | He pai ina kei roto kē tō ao i tētahi whare putunga. Kāore e "taiwhanga ML", engari he "AI i roto i te SQL-ish" |
| IBM watsonx | Ngā ahumahi whakahaeretia | Utu hinonga | He arotahi nui te whakahaere me ngā mana whakahaere hinonga. He maha ngā wā ka whiriwhiria mō ngā whakaritenga kaupapa here nui. |
| Ngā Kubernetes Whakahaeretia (DIY ML) | Ngā kaihanga papaaho | Taurangi | He ngāwari, he ritenga hoki. Waihoki… nōu te mamae ina pakaru 🙃 |
| Whakatau kore tūmau (ngā mahi + ngā pito mutunga) | Ngā tīma hua | I runga i te whakamahinga | He pai mō ngā waka koi. Mātakihia te tīmatanga makariri me te whakaroa pērā i te kāhu. |
Ehara tēnei i te mea mō te whiriwhiri i "te mea pai rawa atu" - engari mō te whakataurite i te ao tūturu o tō rōpū. Koinei te mea ngaro.
Ngā Whakamahinga Noa mō te AI i roto i te Rorohiko Kapua (Me Ngā Tauira) 🧩✨
Anei ngā painga o ngā whakaritenga AI-i-roto-i-te-kapua:
1) Te aunoatanga o te tautoko kiritaki 💬
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ngā kaiawhina kōrerorero
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te ara tikiti
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whakarāpopototanga
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te kimi kare ā-roto me te hiahia API Reo Taiao Kapua
2) Ngā pūnaha taunakitanga 🛒
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ngā whakaaro hua
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whāngai ihirangi
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"i hokona hoki e te iwi"
He maha ngā wā ka hiahiatia he whakatau whakatautau me ngā whakahōutanga tata-tūturu.
3) Te kimi tinihanga me te tatau mōrearea 🕵️
Mā te kapua ka māmā ake te whakahaere i ngā pakūnga, te rere i ngā huihuinga, me te whakahaere i ngā rōpū.
4) Te mōhiotanga tuhinga 📄
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Ngā paipa OCR
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te tangohanga hinonga
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tātaritanga kirimana
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Te tātari nama Ngā Mahi AI Snowflake Cortex
I roto i te maha o ngā whakahaere, koinei te wāhi e whakahokia marietia ai te wā.
5) Te matapae me te arotau i te matatau 📦
Te matapae i te hiahia, te whakamahere i ngā rawa, te arotau i ngā huarahi. He āwhina te kapua nā te mea he nui ngā raraunga, ā, he maha ngā wā ka whakangungu anō.
6) Ngā taupānga AI whakaputa 🪄
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te tuhi ihirangi
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āwhina waehere
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ngā karetao mōhiotanga ā-roto (RAG)
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te whakaputa raraunga hangai pepa Whakaputa-Whakanuia (RAG)
Koinei te wā ka kī ai ngā kamupene: "Me mōhio tātou ki te wāhi e noho ana ā tātou ture urunga raraunga." 😬
Ngā Tauira Hanga Whare ka Kitea e Koe i Ngā Wāhi Katoa 🏗️
Tauira 1: Pūhara ML Whakahaeretia (te ara "e hiahia ana mātou kia iti ake ngā ānini") 😌
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tukuatu raraunga
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whakangungu me ngā mahi whakahaere
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whakatinana ki ngā pūwāhi mutunga e whakahaerehia ana
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aroturuki i roto i ngā papaaho papaaho SageMaker Model Monitor Vertex AI Model Monitoring
He pai te mahi ina he mea nui te tere, ā, kāore koe e hiahia ki te hanga taputapu ā-roto mai i te tīmatanga.
Tauira 2: Lakehouse + ML (te ara "raraunga-tuatahi") 🏞️
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whakakotahi i ngā rerengamahi hangarau raraunga + ML
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whakahaere i ngā pukatuhi, ngā paipa, te hangarau āhuatanga tata ki ngā raraunga
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he kaha mō ngā whakahaere kua noho kē i roto i ngā pūnaha tātaritanga nui Databricks Lakehouse
Tauira 3: ML kua whakakīia ki roto i ngā ipu i runga i a Kubernetes (te ara "e hiahia ana mātou ki te mana whakahaere") 🎛️
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ngā tauira mōkihi i roto i ngā ipu
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tauine me ngā kaupapa here tauine aunoa Kubernetes: Whakapae Pod Autoscaling
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whakauru i te whatunga ratonga, te tirotiro, te whakahaere mea ngaro
E mōhiotia ana hoki ko: "He māia mātou, ā, e pai ana hoki mātou ki te whakatika i ngā hapa i ngā hāora rerekē."
Tauira 4: RAG (Whakatupuranga Whakanuia-Whakaora) (te ara "whakamahia tō mātauranga") 📚🤝
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ngā tuhinga i roto i te rokiroki kapua
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ngā tāpiringa + toa vector
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ka whāngaihia te horopaki ki tētahi tauira e te paparanga tiki
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ngā ārai + te mana uru + te takiuru Pepa Whakaputa-Whakanuia (RAG)
He wāhanga nui tēnei o ngā kōrerorero hou mō te AI-i-roto-i-te-kapua nā te mea koinei te āhua o te maha o ngā pakihi tūturu e whakamahi haumaru ana i te AI whakaputa.
MLOps: Te Wāhanga e Whakahāweatia ana e te Katoa 🧯
Ki te hiahia koe kia mahi te AI i roto i te kapua i roto i te mahi whakaputa, me hiahia koe ki ngā MLOp. Ehara i te mea he mea hou - nā te mea ka nekeneke ngā tauira, ka huri ngā raraunga, ā, he auaha ngā kaiwhakamahi i te huarahi kino rawa atu Google Cloud: He aha ngā MLOp ?
Ngā wāhanga matua:
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Te aroturuki i te whakamātautau : he aha te mea i mahi, he aha te mea kāore i mahi Aroturuki MLflow
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Rēhita tauira : ngā tauira kua whakaaetia, ngā putanga, ngā raraunga raraunga Rēhita Tauira MLflow Rēhita Tauira Vertex AI
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CI-CD mō te ML : whakamātautau + aunoatanga whakatinanatanga Google Cloud MLOps (CD me te aunoatanga)
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Toa Āhuatanga : ngā āhuatanga ōrite puta noa i te whakangungu me te whakatau Toa Āhuatanga SageMaker
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Aroturuki : te nekehanga mahi, ngā tohu whakahāwea, te whakaroa, te utu Aroturuki Tauira SageMaker Aroturuki Tauira Vertex AI
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Rautaki huri whakamuri : āe, pērā i te pūmanawa noa
Ki te kore koe e aro ki tēnei, ka mutu koe me te "tauira kararehe" 🦓 kei reira ngā mea katoa e ora ana, kāore he mea i tohua, ā, ka mataku koe ki te whakatuwhera i te kēti.
Haumarutanga, Tūmataitinga, me te Whakatutukitanga (Ehara i te Wāhanga Ngahau, Engari… Ae) 🔐😅
Ka ara ake ētahi pātai whakahirahira i roto i te hangarau matihiko (AI) i roto i te rorohiko kapua:
Mana whakahaere urunga raraunga 🧾
Ko wai ka taea te uru atu ki ngā raraunga whakangungu? Ngā rangitaki whakatau? Ngā tohu? Ngā putanga?
Te whakamunatanga me ngā mea ngaro 🗝️
Me tika te whakahaere i ngā kī, ngā tohu, me ngā taipitopito tuakiri. Ehara te "I roto i te kōnae whirihoranga" i te whakahaere.
Te noho motuhake me te riihi 🧱
Me whai taiao motuhake ētahi whakahaere mō te whakawhanake, te whakaaturanga, me te whakaputa. Ka āwhina te kapua - engari mēnā ka tika te whakarite.
Te Aromātai 📋
He maha ngā wā me whakaatu e ngā whakahaere whakahaeretia:
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he aha ngā raraunga i whakamahia
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te āhua o ngā whakataunga i mahia
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nā wai i whakatakoto te aha
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i te wā i whakarerekētia ai te IBM watsonx.governance
Te whakahaere mōrearea tauira ⚠️
Kei roto i tēnei:
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ngā tirotiro whakaaro pōhewa
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whakamātautau whakataetae
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ngā parenga werohanga tere (mō te AI whakaputa uri)
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tātari putanga haumaru
Ka hoki katoa ēnei ki te kaupapa: ehara i te mea ko te "AI e manaakihia ana i te ipurangi" anake. He AI e whakahaerehia ana i raro i ngā here tūturu.
Ngā Tohutohu mō te Utu me te Mahi (Kia kore ai koe e tangi ā muri ake nei) 💸😵💫
Anei ētahi tohutohu kua whakamatautauria mō te pakanga:
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Whakamahia te tauira iti rawa e tutuki ai te hiahia
. Kāore i te pai ake te nui i ngā wā katoa. I ētahi wā he… nui noa iho. -
Whakatau puranga ina taea
He iti ake te utu, he pai ake hoki te SageMaker Batch Transform . -
Kia kaha te keteroki.
Ina koa mō ngā patai me ngā tāpiringa tāruarua. -
Tauine aunoa, engari kia iti rawa. Ko
te tauine mutunga kore ka taea te tikanga o te whakapaunga mutunga kore Kubernetes: Horizontal Pod Autoscaling . Pātai mai me pēhea taku mōhio… i te pono, kaua 😬 -
Aroturukihia te utu mō ia pūwāhi me ia āhuatanga.
Ki te kore, ka arotauhia e koe te mea hē. -
Whakamahia te rorohiko tū-mua mō te whakangungu.
He penapena nui mēnā ka taea e ō mahi whakangungu te whakahaere i ngā aukati. Amazon EC2 Spot Instances, Google Cloud Preemptible VMs .
Ngā Hapa a te Tangata (Ahakoa ngā Tīma Atamai) 🤦♂️
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Te whakahaere i te kapua AI hei "mono noa i tētahi tauira"
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Te kore aro ki te kounga raraunga tae noa ki te meneti whakamutunga
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Te tuku tauira me te kore e aroturuki i te SageMaker Model Monitor
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Kāore e whakamahere ana ki te whakangungu anō i te cadence Google Cloud: He aha ngā MLOps?
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Wareware ana kei te noho tonu ngā tīma haumarutanga tae noa ki te wiki whakarewatanga 😬
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Te hanga-ā-ringa rawa atu mai i te rā tuatahi (i ētahi wā ka angitu te whakamahi i tētahi tūāpapa noa iho)
Waihoki, he mea nanakia mārire: kāore ngā tīma e aro nui ki te whakarihariha o ngā kaiwhakamahi ki te whakaroa. He maha ngā wā ka toa te tauira kāore i te tino tika engari he tere. He merekara iti te manawanui o te tangata.
Ngā Kōrero Matua 🧾✅
Ko te AI i roto i te Rorohiko Kapua te mahi katoa o te hanga me te whakahaere i te AI mā te whakamahi i ngā hanganga kapua - te whakanui i te whakangungu, te whakangawari i te whakatinanatanga, te whakauru i ngā paipa raraunga, me te whakahaere i ngā tauira me ngā MLOp, te haumarutanga, me te whakahaere Google Cloud: He aha ngā MLOp? NIST SP 800-145 .
Whakarāpopototanga tere:
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Mā te kapua ka taea e te AI te whakawhanui me te tuku 🚀 NIST SP 800-145
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Mā te AI ka hoatu he "roro" ki ngā mahi kapua hei whakahaere aunoa i ngā whakatau 🤖
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Ehara i te mea ko te whakangungu anake te mahi makutu - engari ko te whakatinanatanga, te aroturukitanga, me te whakahaere 🧠🔐 SageMaker Model Monitor
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Kōwhiria ngā tūāpapa i runga i ngā hiahia o te tīma, kaua ko te kohu hokohoko 📌
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Mātakihia ngā utu me ngā mahi pērā i te kāhu e mau ana i ngā mōhiti 🦅👓 (he kupu whakarite kino, engari kua mārama koe)
Ki te mea i haere mai koe ki konei me te whakaaro "he tauira API noa iho te AI i roto i te rorohiko kapua," kāo - he pūnaha rauropi katoa. I ētahi wā he huatau, i ētahi wā he pōrearea, i ētahi wā e rua i te ahiahi kotahi 😅☁️
Ngā Pātai Auau
Te tikanga o te "AI i roto i te rorohiko kapua" i ngā kupu o ia rā
Ko te tikanga o te AI i roto i te rorohiko kapua ka whakamahia e koe ngā tūāpapa kapua hei penapena raraunga, hei huri i te rorohiko (CPU/GPU/TPU), hei whakangungu i ngā tauira, hei whakatinana i aua mea, hei aroturuki hoki - me te kore e whai i te taputapu. I roto i te mahi, ka noho te kapua hei wāhi e rere ai tō huringa ora AI katoa. Ka reti koe i te mea e hiahiatia ana e koe ina hiahiatia, kātahi ka whakaitihia ina oti.
He aha i rahua ai ngā kaupapa AI me te kore he hanganga kapua me ngā MLOps
Ko te nuinga o ngā hapa ka puta i te tauira, ehara i roto: ngā raraunga koretake, ngā taiao kore e ōrite, ngā whakatinanatanga ngoikore, me te kore aroturuki. Ka āwhina ngā taputapu kapua ki te whakataurite i ngā tauira rokiroki, rorohiko, me te whakatinanatanga kia kore ai ngā tauira e mau ki te "i mahi i runga i taku pona." Ka tāpirihia e MLOps te piripiri ngaro: te aroturuki, ngā rēhita, ngā paipa, me te huri whakamuri kia noho tonu te pūnaha ki te tāruarua me te tiaki.
Ko te rerengamahi noa mō te AI i roto i te rorohiko kapua, mai i te raraunga ki te whakaputa
Ko tētahi rerenga noa ko: ka tau ngā raraunga ki te rokiroki kapua, ka tukatukahia hei āhuatanga, kātahi ka whakangungua ngā tauira ki runga i te rorohiko tauine. Muri iho, ka whakatinanahia e koe mā te pito API, te mahi puranga, te tatūnga kore tūmau, te ratonga Kubernetes rānei. Hei whakamutunga, ka aroturukihia e koe te whakaroa, te nekeneke, me te utu, kātahi ka mahi anō me te whakangungu me ngā whakatinanatanga haumaru ake. Ko te nuinga o ngā paipa tūturu ka huri haere tonu, kaua ki te tuku kotahi.
Te whiriwhiri i waenga i a SageMaker, Vertex AI, Azure ML, Databricks, me Kubernetes
Kōwhiria i runga i te āhua o tō tīma, kaua i te haruru hokohoko "tūāpapa pai rawa atu". Ka whakaitihia e ngā tūāpapa ML whakahaeretia (SageMaker/Vertex AI/Azure ML) ngā āwangawanga whakahaere mā te whakangungu, ngā pito mutunga, ngā rēhita, me te aroturuki. He maha ngā wā ka uru a Databricks ki ngā tīma e hiahia ana ki te hangarau raraunga e tata ana ki ngā paipa me ngā tātaritanga. Ka tukuna e Kubernetes te mana whakahaere me te whakaritenga mōrahi, engari kei a koe anō te pono, ngā kaupapa here tauine, me te patuiro ina pakaru ngā mea.
Ngā tauira hoahoa e tino kitea ana i roto i ngā tatūnga kapua AI i ēnei rā
Ka kite tonu koe i ngā tauira e whā: ngā tūāpapa ML whakahaeretia mō te tere, te lakehouse + ML mō ngā whakahaere raraunga-tuatahi, te ML ipu i runga i a Kubernetes mō te mana whakahaere, me te RAG (whakaputa-whakanuia-whakaputa) mō te "whakamahi haumaru i ō tātou mōhiotanga ā-roto." Ko te tikanga kei roto i te RAG ngā tuhinga i roto i te rokiroki kapua, ngā whakaurunga me te toa vector, he paparanga whakahoki, me ngā mana uru me te takiuru. Me ōrite te tauira e whiriwhiria e koe ki tō whakahaere me te pakeketanga o ngā mahi.
Te whakatinanatanga a ngā tīma i ngā tauira kapua AI: Ngā API REST, ngā mahi puranga, te kore tūmau, ngā Kubernetes rānei
He mea noa ngā REST API mō ngā matapae wā-tūturu ina he mea nui te whakaroa o te hua. He pai te whakatau puranga mō te kaute kua whakaritea me te whai hua o te utu, ina koa kāore e hiahiatia kia tere tonu ngā hua. Ka pai te mahi a ngā pito mutunga kore-tūmau mō te waka tūpoupou, engari me aro ki ngā tīmatanga makariri me te whakaroa. He pai a Kubernetes ina hiahia koe ki te tauine pai me te whakaurunga ki ngā taputapu tūāpapa, engari ka tāpirihia he uauatanga mahi.
Ngā mea hei aroturuki i roto i te mahi whakaputa kia ora tonu ai ngā pūnaha AI
I te iti rawa, aroturukihia te whakaroa, ngā reiti hapa, me te utu mō ia matapae kia kitea tonu ai te pono me te tahua. I te taha ML, aroturukihia te rerekētanga raraunga me te rerekētanga mahi hei hopu i te wā e huri ai te mooni i raro i te tauira. He mea nui anō hoki te taki i ngā take taha me ngā putanga kino, inā koa mō ngā take whakamahinga whakaputa uri ka taea e ngā kaiwhakamahi te tautohetohe auaha. Ka tautokohia hoki e te aroturukitanga pai ngā whakataunga whakamuri ina hoki whakamuri ngā tauira.
Te whakaiti i ngā utu o te kapua AI me te kore e whakaiti i te mahi
Ko tētahi huarahi noa ko te whakamahi i te tauira iti rawa e tutuki ana i te whakaritenga, kātahi ka arotau i te whakatau mā te puranga me te pupuri raraunga. He āwhina te tauine aunoa, engari me here kia kore ai te "pūtea tere" e noho hei "whakapaunga mutunga kore." Mō te whakangungu, ka taea e te tatau i te wāhi/whakamua te penapena nui mēnā ka taea e ō mahi te arotau i ngā aukati. Mā te aroturuki i te utu mō ia pito mutunga me ia āhuatanga ka ārai i a koe ki te arotau i te wāhanga hē o te pūnaha.
Ko ngā mōrearea haumarutanga me ngā mōrearea tutuki ture nui rawa atu me te AI i roto i te kapua
Ko ngā mōrearea nui ko te urunga raraunga kāore i te whakahaerehia, te ngoikore o te whakahaere i ngā mea ngaro, me te ngaro o ngā ara arotake mō te hunga i whakangungu me te hunga i whakatinana. Ka tāpirihia e te Generative AI ētahi atu raruraru pēnei i te werohanga tere, ngā putanga haumaru kore, me ngā raraunga tairongo e puta ana i roto i ngā rangitaki. He maha ngā pipeline e hiahia ana ki te wehe i te taiao (dev/stage/prod) me ngā kaupapa here mārama mō ngā akiaki, ngā putanga, me te takiuru whakatau. Ko ngā tatūnga haumaru rawa atu ka whakaarohia te whakahaere hei whakaritenga matua o te pūnaha, ehara i te papaki wiki whakarewatanga.
Ngā Tohutoro
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Te Whare Wānanga Paerewa me te Hangarau ā-Motu (NIST) - SP 800-145 (Whakamutunga) - csrc.nist.gov
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Kapua Google - Ngā GPU mō te AI - cloud.google.com
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Google Cloud - Ngā tuhinga mō te Cloud TPU - docs.cloud.google.com
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Ratonga Tukutuku Amazon (AWS) - Amazon S3 (rokiroki ahanoa) - aws.amazon.com
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Ratonga Tukutuku Amazon (AWS) - He aha te roto raraunga? - aws.amazon.com
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Ratonga Tukutuku Amazon (AWS) - He aha te whare putunga raraunga? - aws.amazon.com
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Ratonga Tukutuku Amazon (AWS) - Ngā ratonga AWS AI - aws.amazon.com
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Google Cloud - Ngā API AI Google Cloud - cloud.google.com
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Kapua Google - He aha ngā MLOps? - cloud.google.com
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Google Cloud - Vertex AI Model Rēhita (Whakataki) - docs.cloud.google.com
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Red Hat - He aha te REST API? - redhat.com
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Ngā tuhinga mō ngā ratonga tukutuku a Amazon (AWS) - SageMaker Batch Transform - docs.aws.amazon.com
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Ratonga Tukutuku Amazon (AWS) - Whare putunga raraunga vs roto raraunga vs toa raraunga - aws.amazon.com
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Microsoft Ako - Ngā rēhita Azure ML (MLOps) - learn.microsoft.com
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Kapua Google - Tirohanga whānui mō te Rokiroki Kapua Google - docs.cloud.google.com
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arXiv - Pepa Whakaputa Whakanuia-Whakahoki (RAG) - arxiv.org
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Ngā tuhinga mō ngā ratonga tukutuku a Amazon (AWS) - SageMaker Serverless Inference - docs.aws.amazon.com
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Kubernetes - Te Whakatairanga Aunoa o te Pod Whakapae - kubernetes.io
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Google Cloud - Ngā matapae puranga Vertex AI - docs.cloud.google.com
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Ngā tuhinga mō ngā ratonga tukutuku a Amazon (AWS) - SageMaker Model Monitor - docs.aws.amazon.com
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Google Cloud - Vertex AI Model Monitoring (Mā te whakamahi i te aroturuki tauira) - docs.cloud.google.com
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Ratonga Tukutuku Amazon (AWS) - Ngā Tauira Wāhi Amazon EC2 - aws.amazon.com
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Kapua Google - Ngā VM e kore e taea te whakakore - docs.cloud.google.com
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Ngā tuhinga mō ngā ratonga tukutuku a Amazon (AWS) - AWS SageMaker: Me pēhea te mahi (Whakangungu) - docs.aws.amazon.com
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Kapua Google - Google Vertex AI - cloud.google.com
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Microsoft Azure - Azure Machine Learning - azure.microsoft.com
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Databricks - Databricks Lakehouse - databricks.com
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Ngā tuhinga mō te hukarere - Ngā āhuatanga o te Snowflake AI (Aratohu tirohanga whānui) - docs.snowflake.com
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IBM - IBM watsonx - ibm.com
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Google Cloud - Ngā tuhinga mō te API Reo Māori o te Kapua - docs.cloud.google.com
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Ngā tuhinga mō te hukarere - Ngā mahi AI o te Snowflake Cortex (AI SQL) - docs.snowflake.com
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MLflow - Aroturuki MLflow - mlflow.org
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MLflow - Rēhita Tauira MLflow - mlflow.org
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Kapua Google - MLOps: Ngā paipa tuku tonu me te aunoatanga i roto i te ako mīhini - cloud.google.com
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Ratonga Tukutuku Amazon (AWS) - Toa Āhuatanga SageMaker - aws.amazon.com
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IBM - IBM watsonx.governance - ibm.com