Google vertex ai ni iki?

Google Vertex AI ni iki?

Niba warigeze kureba ibikoresho bya AI ukibaza aho ubuhanga nyakuri bubera - kuva ku gukora ibintu byihuse kugeza ku gukora ukoresheje uburyo bwo gukurikirana - iyi ni yo uhora wumva. Vertex AI ya Google ihuriza hamwe ibibuga by'imikino, MLOps, amakuru ahuza abantu, no gushakisha kuri vector ahantu hamwe, ho mu rwego rw'ikigo. Tangira gushakisha ibintu bishya, hanyuma ushyiremo imbaraga. Biratangaje kubona byombi munsi y'inzu imwe.

Hasi hari urugendo rudapfa ubusa. Tuzasubiza ikibazo gisanzwe- Google Vertex AI ni iki? -kandi tugaragaze uburyo ikwiranye n'umubare wawe, icyo ugomba kugerageza mbere na mbere, uko ibiciro byitwara, n'igihe amahitamo arushaho kuba meza. Komeza umukandara. Hari byinshi hano, ariko inzira yoroshye kuruta uko isa. 🙂

Ingingo ushobora gukunda gusoma nyuma y'iyi:

🔗 Umutoza w'ubuhanga bwo gukora imibonano mpuzabitsina (AI) ni iki?
Asobanura uburyo abatoza ba AI banonosora moderi binyuze mu bitekerezo by'abantu no kuzishyiraho.

🔗 Arbitrage ya AI ni iki: Ukuri inyuma y'ijambo rivugwa cyane
Isesengura uburyo bwo gukora igenzura ry’imikorere y’ikoranabuhanga (AI arbitrage), imiterere y’ubucuruzi bwayo, n’ingaruka ku isoko.

🔗 Igishushanyo mbonera cy'ubukorano (AI) ni iki: Ibyo ukeneye kumenya byose
Igaragaza uburyo bwo gutekereza bushingiye ku bwenge bwa AI n'uburyo butandukanye n'uburyo bwo kwiga imashini.

🔗 Ni uruhe rurimi rwa porogaramu rukoreshwa kuri AI
Igereranya Python, R, n'izindi ndimi mu guteza imbere no gukora ubushakashatsi ku ikoranabuhanga rya AI.

🔗 Serivisi yo gukora imibonano mpuzabitsina (AI) ni iki?
Isobanura urubuga rwa AIAaS, inyungu, n'uburyo ibigo bikoresha ibikoresho bya AI bishingiye ku bicu.

Google Vertex AI ni iki? 🚀

Google Vertex AI ni urubuga rucungwa neza kandi ruhuriweho kuri Google Cloud rwo kubaka, kugerageza, gushyira mu bikorwa, no kuyobora sisitemu za AI - zikubiyemo ML ya kera na AI igezweho. Ihuza studio y'icyitegererezo, ibikoresho by'abahuza, imiyoboro, amakaye, ububiko, igenzura, gushakisha vector, no guhuza neza na serivisi za Google Cloud [1].

Mu magambo make: niho ukoresha icyitegererezo cy’imishinga, ukayitunganya, ukayishyira mu bikorwa kugira ngo urinde imipaka, ukayikoresha mu buryo bwikora, kandi ukagenzura ibintu byose. Icy'ingenzi ni uko ibi bikorwa ahantu hamwe - ibi bikaba ingenzi kurusha uko bigaragara ku munsi wa mbere [1].

Imiterere yihuse y'ibintu nyabyo: Amakipe akunze gushushanya ubutumwa muri Studio, agashyiramo agatabo gato kugira ngo agerageze I/O hakurikijwe amakuru nyayo, hanyuma akamamaza iyo mitungo mu buryo bwanditswe, aho irangira, n'uburyo bworoshye bwo kuyikurikirana. Icyumweru cya kabiri gisanzwe ni ugukurikirana no gutanga amakuru. Ingingo si ubutwari - ni ukwisubiramo.

Ni iki gituma Google Vertex AI iba nziza cyane ✅

  • Igisenge kimwe cyo kuzenguruka ubuzima - prototype muri studio, verisiyo zo kwiyandikisha, zikoreshwe mu itsinda cyangwa mu gihe nyacyo, hanyuma ukurikirane niba hari ikibazo cyangwa ibibazo bihari. Kode nke. Tab nke. Gusinzira cyane [1].

  • Model Garden + Gemini models - vumbura, uhindure, kandi ushyireho models zivuye kuri Google n'abafatanyabikorwa, harimo n'umuryango wa Gemini uheruka, kugira ngo zikoreshwe mu nyandiko no mu mirimo myinshi [1].

  • Umukozi w’inzobere - wubaka abakozi b’intambwe nyinshi kandi bibanda ku mirimo, bashobora gutunganya ibikoresho n’amakuru bakoresheje inkunga y’isuzuma n’igihe cyo gukora gicungwa [2].

  • Imiyoboro yo kwizerwa - uburyo bwo gutunganya ibintu butagira seriveri kugira ngo habeho imyitozo isubirwamo, isuzuma, gutunganya no gushyira mu bikorwa. Uzishimira igihe imyitozo ya gatatu izaba irangiye [1].

  • Gushakisha Vektori ku gipimo - gushakisha vektori ku gipimo cyo hejuru, gutinda guke kuri RAG, inama, no gushakisha mu buryo bw'amagambo, byubatswe ku bikorwa remezo bya Google byo mu rwego rwo hejuru [3].

  • Gucunga imikorere ukoresheje BigQuery - komeza amakuru yawe y'imikorere muri BigQuery kandi utange imikorere kuri interineti ukoresheje Vertex AI Feature Store utiriwe uhindura ububiko buri hanze ya interineti [4].

  • Amakaye yo mu biro - ibidukikije bya Jupyter bicungwa hifashishijwe serivisi za Google Cloud (BigQuery, Cloud Storage, nibindi) [1].

  • Amahitamo y’ubuhanga mu by’ubuhanga bwo gukora ibintu (AI) - ibikoresho by’umutekano hamwe ryo kubika amakuru ntarengwa (iyo byashyizweho neza) ku mirimo myinshi ibyara umusaruro [5].

Ibice by'ingenzi uzabikoraho 🧩

1) Vertex AI Studio - aho ibyifuzo bikura 🌱

Kina, suzuma, kandi uhindure moderi z'ibanze muri UI. Ni nziza cyane ku buryo bwihuse bwo gusubiramo, gukoresha ibintu bishobora kongera gukoreshwa, no gushyikirizwa umusaruro igihe ikintu "kimaze gukanda" [1].

2) Ubusitani bw'icyitegererezo - katalogu yawe y'icyitegererezo 🍃

Isomero rya Google n'ibyiciro by'abafatanyabikorwa riri hamwe. Reba, hindura, kandi ushyireho mu buryo bworoshye - aho uhera aho gushaka abashaka kwiba [1].

3) Umukozi w'Ubwubatsi - ku bw'imikorere yikora yizewe 🤝

Uko abakozi bahinduka kuva ku gukora demo bakagera ku kazi gasanzwe, ukeneye ibikoresho, gushingira no gutunganya. Agent Builder itanga urwego rw'ibikorwa (Amasomo, Memory Bank, ibikoresho byubatswemo, isuzuma) kugira ngo ubunararibonye bw'abakozi benshi budasenyuka bitewe n'akajagari k'isi [2].

4) Imiyoboro - kuko uzasubiramo uko byagenda kose 🔁

Kora imikorere ya ML na gen-AI ukoresheje orchestrator idafite seriveri. Ishyigikira gukurikirana ibihangano by'ubukorikori no gukora ibintu bishobora kubyanduzwa - tekereza nka CI kuri moderi zawe [1].

5) Ameza yo gukoreraho - amakaye acungwa neza nta kogosha 📓

Kora imiterere ya JupyterLab itekanye, woroshye kubona BigQuery, Cloud Storage, n'ibindi. Ifasha mu bushakashatsi, gukora ibishushanyo mbonera, no mu igerageza rigenzurwa [1].

6) Urwego rw'indangamuntu - verisiyo ikomeza 🗃️

Kurikirana moderi, verisiyo, umurongo, no kuzikoresha kugeza ku mpera. Registry ituma guhererekanya amakuru ku buhanga bidakomeye cyane [1].

7) Gushakisha Vektori - RAG idahindagurika 🧭

Gushakisha semantiki mu buryo bwa "Scale semantiki" ukoresheje ibikorwa remezo bya Google by'umushinga - ingirakamaro mu kuganira, gushakisha semantiki, no gutanga inama aho gutinda bigaragara ku bakoresha [3].

8) Ububiko bw'ibintu - komeza BigQuery nk'isoko y'ukuri 🗂️

Gucunga no gutanga ibintu kuri interineti uhereye ku makuru ari muri BigQuery. Gukoporora bike, imirimo mike yo guhuza, gukora neza kurushaho [4].

9) Gukurikirana Modeli - kwizera, ariko ugenzure 📈

Teganya kugenzura uburyo ibintu bihinduka, shyiraho amatangazo, kandi ukomeze gukurikirana ubwiza bw'umusaruro. Uko urujya n'uruza rw'abantu ruhinduka, uzakenera ibi [1].

Uko bihuye n'ububiko bw'amakuru yawe 🧵

  • BigQuery - shyira amakuru aho, shyira ibiteganyijwe mu byiciro ku mbonerahamwe, hanyuma ushyire ibiteganyijwe mu buryo bwo gusesengura cyangwa gukora [1][4].

  • Ububiko bw'Ibicu - kubika amakuru, ibikoresho by'ubukorikori, n'ibisohoka mu buryo bw'icyitegererezo udakoresheje urwego rw'itsinda [1].

  • Urujya n'uruza rw'amakuru n'inshuti - koresha uburyo bwo gutunganya amakuru bucungwa mu miyoboro yo gutunganya, kunoza, cyangwa gukoresha uburyo bwo kureba amakuru [1].

  • Endpoints cyangwa Batch - shyiramo endpoints mu gihe nyacyo kuri porogaramu n'abahagarariye, cyangwa ukore akazi ka batch kugira ngo ubone amanota ku mbonerahamwe zose - ushobora kuzikoresha zombi [1].

Ibintu bisanzwe bikoreshwa mu by'ukuri 🎯

  • Chat, copilotes, na agents - hamwe no gushingira ku makuru yawe, ikoreshwa ry'ibikoresho, n'inzira nyinshi. Agent Builder yagenewe kwizerwa, atari ibintu bishya gusa [2].

  • RAG na semantic search - huza Vector Search na Gemini kugira ngo usubize ibibazo ukoresheje ibikubiye mu nyandiko yawe bwite. Umuvuduko ni ingenzi kuruta uko twibwira [3].

  • ML iteganya igihe - koresha imbonerahamwe cyangwa ibishushanyo, shyira ku mpera, genzura uko ibintu bigenda, ongera ukoreshe imiyoboro iyo urwego rwambutse. Byarasanzwe, ariko by'ingenzi [1].

  • Gukoresha isesengura - andika ibyahanuwe kuri BigQuery, wubake abareba, kandi utange ibitekerezo ku bikorwa cyangwa ibyemezo ku bicuruzwa. Uburyo bwiza bwo kwamamaza buhuye n’ubumenyi bw’amakuru [1][4].

Imbonerahamwe yo kugereranya - Vertex AI vs ubundi buryo buzwi 📊

Incamake yihuse. Ifite ibitekerezo bigufi. Wibuke ko ubushobozi n'ibiciro bihinduka bitewe na serivisi n'akarere.

Urubuga Abakurikiranira hafi cyane Impamvu bikora
Vertex AI Amakipe kuri Google Cloud, gen-AI + ML blend Studio ihuriweho, imiyoboro, registry, ishakisha ry’amakuru kuri vector, hamwe n’imikoranire ikomeye ya BigQuery [1].
AWS SageMaker Inzego za mbere za AWS zikeneye ibikoresho byimbitse bya ML Serivisi ya ML ikuze kandi ikora mu buzima bwose hamwe n'amahitamo menshi yo guhugura no gutanga serivisi.
Azure ML ikoranabuhanga ry’ibigo bihuza na Microsoft Imiterere y'ubuzima ya ML ihujwe, UI y'umushushanyi, n'imiyoborere kuri Azure.
Databricks ML Amakipe ya Lakehouse, imikino myinshi ya mudasobwa Imikorere ikomeye y’amakuru n’ubushobozi bwo gukora ML.

Yego, imvugo ikoreshwa mu buryo butaringaniye - imbonerahamwe nyazo rimwe na rimwe ni zo zikoreshwa.

Ibiciro mu Cyongereza gisanzwe 💸

Uba wishyura ibintu bitatu cyane cyane:

  1. Uburyo bwo gukoresha icyitegererezo mu guhamagara abantu benshi - igiciro gishingiye ku murimo n'icyiciro cy'imikoreshereze.

  2. Kora imyitozo yihariye n'akazi ko gutunganya.

  3. Gukorera akazi k'amanota yo kuri interineti cyangwa akazi k'itsinda.

Kugira ngo ubone imibare nyayo n'impinduka ziheruka, reba ku mapaji yemewe y'ibiciro bya Vertex AI ndetse n'ibyo itanga. Inama uzashimira nyuma: suzuma amahitamo yo gutanga no gupima igihe Studio igeze ku musaruro mbere yo kohereza ikintu cyose kiremereye [1][5].

Umutekano, imiyoborere, n'ubuhanga mu by'ubwenge (AI) 🛡️

Vertex AI itanga ubuyobozi n’ibikoresho by’umutekano bya AI, hamwe n’inzira zo gushyiraho amakuru kugira ngo hatabaho kubika amakuru ku mirimo imwe n’imwe ikorwa (urugero, mu guhagarika kubika amakuru no guhitamo kuva mu nyandiko runaka aho bikenewe) [5]. Bihuze n’uburyo bwo kwinjira bushingiye ku nshingano, imikoranire y’abantu ku giti cyabo, n’inyandiko z’igenzura kugira ngo habeho uburyo bwo kubahiriza amategeko [1].

Iyo Vertex AI ari nziza cyane - kandi iyo irenze urugero 🧠

  • Ni byiza cyane niba ushaka ahantu hamwe ho gukorera gen-AI na ML, guhuza BigQuery neza, n'inzira yo gukora irimo imiyoboro, registry, no gukurikirana. Niba itsinda ryawe rikora ibijyanye n'ubumenyi bw'amakuru n'ikoranabuhanga rya porogaramu, ubuso busangiwe burafasha.

  • Ugomba gukora cyane niba ukeneye gusa uburyo bworoshye bwo guhamagara cyangwa igikoresho kimwe gusa kitazakenera ubuyobozi, kongera guhugura, cyangwa kugenzura. Muri ibyo bihe, ubuso bworoshye bwa API bushobora kuba buhagije ubu.

Tuvugishe ukuri: inyinshi mu ngero zisanzwe zirapfa cyangwa zigakura amenyo. Vertex AI ikemura ikibazo cya kabiri.

Gutangira vuba - ikizamini cy'uburyohe cy'iminota 10 ⏱️

  1. Fungura Vertex AI Studio kugira ngo ubone prototype ukoresheje moderi hanyuma ubike amakuru make ukunda. Kanda amapine ukoresheje inyandiko yawe nyayo n'amashusho [1].

  2. Shyira ubutumwa bwawe bwiza kuri porogaramu cyangwa ikaye ntoya cyane ya Workbench . Ni byiza kandi biraryoshye [1].

  3. Andikisha moderi ishyigikira porogaramu cyangwa umutungo wayo wahinduwe muri Model Registry kugira ngo udakoresha ibikoresho bitavuzwe amazina [1].

  4. Kora Umuyoboro ushyira amakuru, ugasuzuma ibyavuye mu bushakashatsi, kandi ugakoresha verisiyo nshya inyuma y'irihimbano. Gusubiramo ibintu biruta ubuhanga [1].

  5. Ongeraho uburyo bwo gukurikirana kugira ngo ufate ibintu bishya kandi ushyireho amakuru y'ibanze. Ejo hazaza hawe hazaza hazagurirwa ikawa kuri ibi [1].

Urashobora kuyikoresha ariko ni umuhanga: niba ikoreshwa ryawe ari iry’ishakisha cyangwa rikunda kuvugwa, ongeramo Vector Search na grounding uhereye ku munsi wa mbere. Ni itandukaniro riri hagati y’iry’ingirakamaro n’iry’ingirakamaro bitangaje [3].

Google Vertex AI ni iki? - verisiyo ngufi 🧾

Google Vertex AI ni iki? Ni urubuga rwa Google Cloud rukoresha byose mu gushushanya, gushyiraho no kuyobora sisitemu za AI - kuva ku buryo bwihuse kugeza ku gukora - hamwe n'ibikoresho byubatswemo by'abahagarariye, imiyoboro, gushakisha ibyuma, amakaye, ububiko, no gukurikirana. Ifite ibitekerezo mu buryo bufasha amatsinda kohereza [1].

Amahitamo arambuye - guhitamo inzira ikwiye 🛣️

Niba usanzwe ukunda cyane AWS, SageMaker izamera nk'aho ari gakondo. Amaduka ya Azure akunze gukunda Azure ML . Niba ikipe yawe iba mu maduka yo mu bwoko bwa mudasobwa n'ay'ibiyaga, Databricks ML ni nziza cyane. Nta na kimwe muri ibi kibi - uburemere bw'amakuru yawe n'ibyo ukeneye mu miyoborere akenshi ni byo bigena.

Ibibazo Bikunze Kubazwa - umuriro wihuse 🧨

  • Ese Vertex AI ikoreshwa gusa mu gukora AI? Nta Vertex AI ikubiyemo kandi amahugurwa ya ML asanzwe hamwe n'imikorere ya MLOps ku bahanga mu bya siyansi n'abahanga mu bya ML [1].

  • Ese nshobora kugumana BigQuery nk'ububiko bwanjye bw'ibanze? Yego-koresha Feature Store kugira ngo ubike amakuru y'imikorere muri BigQuery kandi uyatange kuri interineti utiriwe ukoresha iduka ritari kuri interineti [4].

  • Ese Vertex AI ifasha kuri RAG? Yes-Vector Search yakozwe kuri yo kandi ihuzwa n'ibindi bice by'inyuma [3].

  • Nigute nagenzura ibiciro? Tangira upime, urebe kandi urebe ingano/ibiteganyijwe n'ibiciro by'umusaruro mbere yo kugabanya [1][5].

Amareferensi

[1] Google Cloud - Intangiriro kuri Vertex AI (Incamake ya platforme ya Unified) - soma byinshi

[2] Incamake ya Google Cloud - Vertex AI Agent Builder - soma byinshi

[3] Google Cloud - Koresha Vertex AI Vector Search ukoresheje Vertex AI RAG Engine - soma byinshi

[4] Google Cloud - Intangiriro yo gucunga imikorere muri Vertex AI - soma byinshi

[5] Google Cloud - Kubika amakuru y'abakiriya no kutabika amakuru muri Vertex AI - soma byinshi

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