Ingobo yomlando njengesethi yedatha yengqondo: kusukela ku-corpus yomuntu siqu kuya ku-AI ewusizo

Isibuyekezo sokugcina: 26/03/2026
Author: Isaka
  • Ukuguqula ifayela libe yisethi yedatha yengqondo kuhilela ukwenza i-corpus ibe yi-vector, ukwakha amagrafu obudlelwano, nokuxhumanisa umsizi we-AI ukuze alihlole ukuze athole imibono.
  • Ikhwalithi, indawo, kanye nokuhlolwa okuqinile kwesethi yedatha kubaluleke kakhulu njengokwakhiwa kwemodeli yokuthola i-AI ethembekile nehambisana nomongo.
  • Isichasiselo sedatha, esisekelwa amathuluzi athile kanye nezinqubo zokulawula ikhwalithi, siguqula ifayela libe yizinto zokusetshenziswa ezingaqeqeshwa zemisebenzi eminingi.
  • Amafayela omuntu siqu, izindawo zokugcina ezivulekile, kanye nedatha elingisiwe kuyahlanganiswa ukudala izinhlelo zemvelo zesethi yedatha ezisebenza emikhakheni efana nezempilo, ezokuthutha, ezezimali, noma ezemfundo.

ifayela njengesethi yedatha yengqondo

Guqula ifayela lomuntu siqu libe yi- isethi yedatha yengqondo ephilayo newusizo Akuseyona eyamalabhorethri amakhulu kuphela: noma ubani obelokhu ekhiqiza okuqukethwe kwedijithali iminyaka eminingi angaguqula lowo mlando ube isisekelo solwazi esingahanjwa kanye nophethiloli wezinhlelo zobuhlakani bokwenziwa. Into ethokozisayo akukhona nje ukulondoloza konke okubhalile ku- ifomethi efanelekilekodwa ukwenza lezo zingcezu zibe yingxoxo, zihlobane futhi zikwazi ukubonisana ngemibono, izimo noma abadlali, ngale kokusesha okulula ngamagama angukhiye.

Lokho kusuka kufayela elingaguquki kuya ku- isethi yedatha ekhethiwe, echazwe, futhi engasesheka Lokhu kuvula umnyango wokusetshenziswa kusukela kumsizi womuntu siqu oqeqeshwe emibhalweni yakho kuya ekwakhiweni kwamamodeli olimi aklanyelwe isiko noma umkhakha othile. Kulesi sihloko, sizochaza ngokuthula nangokucacile ukuthi kusho ukuthini ukuphatha ifayela njengesethi yedatha yengqondo, ukuthi lakhiwe kanjani ngobuchwepheshe, ukuthi ukuhumusha noma ukubhala amanothi ngendlela efanele kuhlanganisani, yimaphi amathuluzi ahilelekile, nokuthi yiziphi izimo zomhlaba wangempela elisetshenziswayo kakade.

Kusukela kungobo yomlando ehlakazekile kuya kusethi yedatha yengqondo engasetshenziswa

Cabanga ukuthi ubulokhu ubhala izihloko mayelana [nesihloko/isihloko] iminyaka engaphezu kweshumi ubuchwepheshe, imithethonqubo, ubumfihlo, noma ubuhlakani bokwenziwa epulatifomu eyodwa. Ucela ukulahlwa okuphelele kwemibhalo yakho (ifayela lombhalo ocacile elinezinkulungwane zamadokhumenti) bese ulithola ngemizuzu embalwa. Ephepheni, lelo fayela liwusizo: lihlanganisa iminyaka eyishumi nane yenqubo yakho yokucabanga. Kodwa uma nje lihlala lingumbhalo ongahlelekile, ungenza okungaphezu... sesha ngamagama ngamanye.

Ushintsho lokuqala lomqondo luhilela ukuyeka ukubuka lelo fayela njengenqwaba yamadokhumenti bese uqala ukuliphatha njenge- i-corpus ehambisanayo engahlolwa futhi ihlolweUmqondo uwukuguqula isihloko ngasinye sibe yisimo sezinombolo esibamba incazelo yaso, sigcine lawo mavektha kusizindalwazi esikhethekile, bese sakhela phezu kwawo igrafu yobudlelwano kanye nomsizi oqonda kahle leso sikhala sencazelo.

Esifundweni sezwe langempela esihilela izihloko ezingu-4.209 ezibhalwe ngesiNgisi eminyakeni engaphezu kwengu-14, umbhali usebenzise imodeli ye ukushumeka kwezilimi eziningi (i-paraphrase-multilingual-mpnet-base-v2, kusukela kuma-sentence-transformers) ukuguqula umbhalo ngamunye ube yi-vector enobukhulu obungu-768. Lawa ma-vector agcinwe ku-ChromaDB, isizindalwazi se-vector somthombo ovulekile. Yonke inqubo, esebenza kuseva ejwayelekile ngaphandle kwe-GPU, yaqedwa cishe ngemizuzu emihlanu: ifayela eliyisicaba laguqulwa laba yindawo eqhubekayo yemibono.

Empeleni, lokhu kusho ukuthi awusaseshi "ngamagama angukhiye" kodwa ngemiqondo, imibuzo, noma izingcezu zombhaloUngabuza imibuzo efana nokuthi "Ngiqale nini ukubhala nge-technology monopolies?" noma "Yiziphi izihloko ezisondelene kakhulu nale mpikiswano?" bese uhlelo luphendula ngokuthola ama-vector aseduze kakhulu kuleso sikhala se-semantic, noma ngabe angabelani ngesilulumagama esifanayo. Kuyindlela eqondile kakhulu yokwandisa inkumbulo yakho ngomsebenzi wakho.

Igrafu nayo yakhiwe phezu kwalesi sendlalelo sevektha kusetshenziswa i-NetworkX, lapho i-node ngayinye imelela khona isihloko futhi imiphetho ixhumanisa imibhalo ebelana ngamathegi esihloko noma edlula umkhawulo othile wokufana kwe-semantic. Uma ibonwa ngamathuluzi afana ne-Gephi, umphumela uba yi- imephu yomphumela wakho wobuhlakani ohlelwe ngamaqoqoImithethonqubo, amapulatifomu, ubumfihlo, ubuhlakani bokwenziwa, ukuhamba kukagesi… kanye nokuxhumana okungalindelekile phakathi kwemibhalo ehlukaniswe ngeminyaka kodwa esondelene kakhulu ngemibono.

isethi yedatha yobuhlakani bokwenziwa

Umsizi womuntu siqu we-ejenti njengesango lokungena kungobo yomlando

Esinye isici esibalulekile sale ndlela ukuba ne- umsizi wobuhlakani bokwenziwa onamathele kusethi yakho yedatha engasebenza njengomhlanganyeli oqhubekayo, hhayi nje i-chatbot elula kuthebhu yesiphequluli. Esibonelweni sangaphambilini, lowo msizi waqanjwa ngokuthi i-Bautista: isibonelo se-agent esisekelwe kumamodeli e-Anthropic (Claude Sonnet 4.6) kodwa esikwazi ukusebenza namanye amamodeli kuye nge-API esetshenzisiwe.

I-Bautista ihlala kuseva yombhali futhi ihlelwe kusetshenziswa ipulatifomu yengqalasizinda efana ne-OpenClaw, ephatha inkumbulo eqhubekayo phakathi kwezikhathi, iziteshi zokuxhumana (njenge-Telegram), imisebenzi ehleliwe, kanye nokufinyelela kumathuluzi afana nohlelo lwefayela kanye nokusebenza kweskripthi. Ngenxa yalokhu, umsizi igcina ukuqhubeka ngokuhamba kwesikhathiIkhumbula amaphrojekthi angaphambilini, igcina amafayela, yenza izinqubo ngokuzenzakalela, futhi ingasebenza ngokuzimela uma iyalwa.

Umehluko uma uqhathaniswa nokuvula ithempulethi ejwayelekile kusiphequluli ukuthi lapha asikhulumi nje ngenye ingxoxo, kodwa into efana ne- umlingani ohlanganisiwe engqalasizinda yakho, ochwepheshe ku-corpus yakho futhi okwazi ukusebenza njengomlamuleli phakathi kwalelo fayela elivezwe nge-vector nezidingo zakho zansuku zonke: ukuthola imibhalo, ukuthola ukungasebenzi kahle, ukuthola izingcaphuno, ukuqhuba ukuhlaziya okuthile noma ukuqalisa izikripthi zokulungisa.

  IMicrosoft yethula i-Dragon Copilot: umsizi we-AI wokuthuthukisa ukunakekelwa kwezempilo

Ngaphezu kwalokho, uhlelo lwaklanywa ukugcina ingobo yomlando iphila ngaphandle kokungenelela ngesandla. Njalo lapho umbhali eshicilela isihloko esisha ku-Medium futhi abelana ngesixhumanisi sokufinyelela esigcwele ku-Bluesky, inqubo ehleliwe ibuza i-Bluesky public API nsuku zonke, ithole okufakiwe okusha, ilande umbhalo, ikhiqize ikhodi yayo yokushumeka, bese iyifaka ku-ChromaDB. Iphayiphi ezenzakalelayo iqinisekisa ukuthi isethi yedatha iyazibuyekeza yona., ngenxa yemisebenzi ye ifayela indexingukugwema inkinga yakudala yokuthi izisekelo zolwazi ziphelelwe yisikhathi ngoba ukuzibuyekeza kuwumsebenzi onzima.

Esigabeni esilandelayo, kwanezelwa izendlalelo ezintsha zokuhlaziya, njengokuqashelwa kwezinhlangano eziqanjwe ngamagama (abantu, izinkampani, ubuchwepheshe, amazwe, izikhungo) kulo lonke iqembu, ngenhloso yokufunda ukuvela kwesikhathi kokukhulunywa kanye namanethiwekhi okuhlanganaNgenxa yalokhu, kungenzeka ukubona ukuthi umlingisi ofana ne-OpenAI uvela nini emibhalweni, ukuthi i-Google+ iyanyamalala nini, noma ukuthi ama-ejenti ahlukene ahlobene kanjani ngokuhamba kwesikhathi, okuletha uhlelo eduze kokuhlaziywa kwenkulumo enkulu kunengobo yomlando yomuntu siqu elula.

Isethi yedatha, imodeli kanye nokuziphatha: ifayela njengezinto zokusetshenziswa ze-AI

Ngokwesimo sobuhlakani bokwenziwa, Isethi yedatha ingaphezu nje kweqoqo ledathaLokhu kuyizinto zokuqeqesha ezibumba ukuziphatha kwemodeli. Ekucubungulweni kolimi lwemvelo (i-NLP), le sethi yedatha ivame ukuthatha isimo semibhalo, izingxoxo, imiyalelo, noma izichasiselo ezivumela amamodeli ukuthi afunde ukuhumusha, ukufingqa, ukuxoxa, noma ukuhlukanisa imizwa, phakathi kweminye imisebenzi.

Sekuyiminyaka eminingi, kugxilwe kakhulu ekwakhiweni kwemodeli (inani lamapharamitha, uhlobo lwezendlalelo, umthamo wokubala), kodwa ulwazi lwamuva nje lubonise ukuthi ikhwalithi, ukuhlukahluka, kanye nokufaneleka kwedatha yokuqeqeshwa Zinesisindo esilingana, noma ngisho nangaphezu kwalokho, ukwakheka kwemodeli. Njengoba izifundo ezifana nalezo ezenziwe nguBender et al. noma uPaullada et al. zikhomba, amamodeli awangcono kunedatha ewondlayo: uma isethi yedatha ichemile, ingaphelele, noma ingameleli, i-AI ​​izophinda ikhiqize lawo maphutha afanayo.

Lolu shintsho embonweni luholele ekushukumeni okucacile okuya izinga phezu kobuningiAkukhona nje ukuqoqa imibhalo eminingi, kodwa mayelana nokuqinisekisa ukuthi le datha ihambisana nolimi, ukuhlukahluka kwesifunda, kanye nomongo wamasiko lapho i-AI izosetshenziswa khona (Blasi et al., Kreutzer et al.). Lokhu kubaluleke kakhulu uma sicabanga ngengobo yomlando njengesethi yedatha yobuhlakani: i-corpus yomuntu siqu yombhali ingaba mnandi kakhulu, kodwa uma izosetshenziselwa amamodeli asebenza kwezinye izilimi noma izimakethe, ukuhlelwa kanye nokuzivumelanisa nezimo kuba yinto ebalulekile.

Ngaphezu kwalokho, isethi yedatha ayisebenzi nje kuphela ekuqeqesheni, kodwa futhi nase hlola ukusebenza kwemodeliUma imodeli ihlolwa kusetshenziswa idatha esivele iyibonile ngesikhathi sokuqeqeshwa (ukungcola kwedatha), kutholakala izilinganiso ezidukisayo ezifihla ukulinganiselwa kwayo kwangempela, njengoba kuhlaziywe nguDong et al. noSamuel et al. Ngakho-ke, lapho udlulisela ifayela lomuntu siqu kumongo we-AI, kubalulekile ukuhlukanisa ukuthi yiziphi izingxenye ezisetshenziselwa ukuqeqeshwa, ukuthi yiziphi zokuqinisekisa, nokuthi yiziphi zokuhlola, kanye nokuklama amasethi okuhlola acebile futhi ayinselele, kunokuhlolwa okuncane okudlula kuwo wonke amamodeli.

isethi yedatha echaziwe kanye nomlando wobuhlakani

Ukuhumusha nokwabela amasethi edatha endaweni: okungaphezu nje kokudlulisa umbhalo kusuka kolunye ulimi uye kolunye

Uma ufuna ukusebenzisa kabusha ifayela elifana neli Isethi yedatha yobuhlakani ngezilimi eziningana noma izimaketheKuvela inselele ethile: ukuhumusha kanye nokwenziwa kwendawo kwe-corpus. Uma uqala ukubuka, kungase kubonakale sengathi kungenye nje iphrojekthi yokuhumusha, kodwa isethi yedatha ye-AI ivame ukwakhiwa yizingcezu ezihlukanisiwe, izingxoxo ezikhululekile, imiyalelo emifushane, noma idatha ehlelekile ngaphandle komongo ocacile wokulandisa, okushintsha ngokuphelele imithetho yomdlalo.

Kumasethi amaningi edatha sithola umongo olinganiselwe kakhuluLezi yimisho engenalo ulwazi mayelana nokuthi ubani okhulumayo, isimo, noma inhloso yakhe. Umhumushi kufanele aqonde imisebenzi esebenzayo (umyalo, ukungabaza, inhlamba, ihlaya) ukuze imodeli ikwazi ukufunda kahle ukuziphatha olimini oluqondiwe. Ngaphezu kwalokho, kunezinto okungafanele zithintwe, njengeziqeshana zekhodi, iziguquguquko, izibambi-ndawo, noma amalebula obuchwepheshe, lapho ukuhumusha okungenalwazi kungaphula khona isethi yedatha.

Ukuvumelana okukhulu nakho kuyabandakanyeka: izinqumo ezibonakala zincane, njengokukhetha phakathi kokuthi "tú" noma "usted," ukuphatha ubulili obuhlanganisa bonke, noma ukuphathwa kwamaNgisi athile, Ziphindaphindwa ngezigidi zezibonelo.Ukungahambisani okungase kungabonakali encwadini kuba umsindo lapha okwenziwa yimodeli ngaphakathi. Futhi, ngokungafani nokuhumusha komhleli, ngokuvamile kungcono ukugcina amaphutha ohlelo lolimi noma izingxoxo njengoba zivela, ngoba umgomo akukhona "ukupholisha" umbhalo, kodwa ukufundisa i-AI ​​indlela abantu abaziveza ngayo ngempela.

Ngakho-ke, esikhundleni sokuhumusha, kungcono ukukhuluma ngakho thola amasethi edathaLokhu kuhilela ukuguqula izinkomba zamasiko, amagama ezikhungo, izinhlobo, amafomethi ezinsuku, izimali, kanye namayunithi okulinganisa, kanye nokulungisa irejista ngokwezindinganiso zomphakathi zemakethe eqondiwe. Kumamodeli amakhulu ezilimi, lokhu kuchazwa kwendawo yilokho okuhlukanisa i-AI "ekhuluma iSpanishi" kuleyo eqonda izici zamasiko, okulindelwe kwenhlonipho, kanye nezinkomba zendawo.

  Ukusetha i-Windows 11 nge-Copilot: Izinyathelo, izinqamuleli, nokulawula okugcwele

Izinkampani ezinomlando omude kwesofthiwe kanye nokwasendaweni kokuqukethwe, njenge-imaxin, bezilokhu zithuthuka ziye ukuhumusha kanye nokuhlelwa okuqondile kwamasethi edathaNgokuhlanganisa ubuchwepheshe babantu, iziqondiso zesitayela ezihlelwe kahle, uhlu lwamagama olukhethiwe, kanye namathuluzi okuhumusha asizwa yikhompyutha kanye nomshini, indlela yabo ifana nenqubo yokulawula ikhwalithi yedatha ngaphezu kokuhumusha okuvamile: incazelo enembile yezindlela zolimi kanye nobuchwepheshe, ukuphathwa kwamaphutha ngamabomu, ukusetshenziswa kwe-QA ezenzakalelayo, kanye nokusampula kwezibalo ukuqapha ukuvumelana.

Isethi yedatha echaziwe: inikeza isakhiwo kanye nencazelo kudatha

Ukuze ifayela libe yi- Isethi yedatha yengqondo ewusizo ngempela yamamodeli aqondisiweAkwanele ukuqoqa imibhalo nje: kumele ifakwe izichasiselo. Isethi yedatha enezichasiselo yileso lapho isakhi ngasinye (isithombe, ingxenye yomsindo, umusho, ithebula) sinikezwe khona imethadatha echaza okuqukethwe noma umsebenzi waso: amathegi, izigaba, izinhlangano, ubudlelwano, imibhalo ebhaliwe, amabhokisi abophezelayo, njll.

Ngokwesibonelo, embonweni wekhompyutha, izichasiselo zingafaka amalebula okuhlukanisa umhlaba wonke, amabhokisi ahlanganisa izinto, izifihla-buso zokuhlukanisa ezinikeza isigaba ku-pixel ngayinye, izichasiselo zamaphuzu ayisihluthulelo (amalunga omuntu, amaphuzu obuso), noma izindlela ezihamba ngazo ividiyo. Embhalweni, sikhuluma okufakiwe kwezinto eziqanjwe ngamagama (abantu, izinhlangano, izindawo), ukuhlukaniswa kwemibhalo, ukuhlaziywa kwe-syntactic, ubudlelwano phakathi kwezinhlangano, noma amathegi emizwa.

Umgomo wawo wonke lo msebenzi ukuthi amamodeli abe izibonelo ezicacile zalokho okufanele bakuqaphele noma bakubikezeleIsethi yedatha yezithombe ezichazwe ngamakati, izimoto, kanye nabahamba ngezinyawo ivumela amamodeli okuqeqesha athola futhi ahlukanise lezi zinto; isethi yedatha yezingxoxo ezinamathegi anenhloso nemizwa ivumela ukuqeqeshwa kwama-chatbot kanye nezinhlelo zokuhlaziya imizwa; i-documentary corpus enezinhlaka eziphawuliwe kanye nobudlelwano obucacile ibeka isisekelo sezinhlelo zokukhipha ulwazi.

Izichasiselo azikhawulelwe kumbhalo noma ezithombeni: kumsindo, imisebenzi ifaka phakathi ukubhala phansi, ukumaka imicimbi yomsindo (ihlombe, ukuhleka, ukuqhuma kwezibhamu), ukuhlukaniswa ngesikhulumi, kanye nokufaka uphawu lwesikhathi lwamagama angukhiye. Futhi kudatha ye-multimodal (ividiyo enomsindo nemibhalo engezansi, isibonelo), kwenziwa umsebenzi wokuvumelanisa izindlela kanye nokuxhumana okubhaliwe ndawonye (ukubonakaliswa kobuso kanye nethoni yezwi kanye nokuqukethwe kombhalo).

Emkhakheni wedatha ehlelekile neyamathebula, ukufaka izichasiselo kusho futhi Chaza incazelo yamakholomu namananiLokhu kuhlanganisa ukuxhumanisa okufakiwe okulinganayo kuzo zonke izizindalwazi noma ukumaka izimfanelo ezifanele zemisebenzi yokubikezela. Uhlobo ngalunye lwephrojekthi luzokhetha isethi eyodwa noma enye yezichasiselo, futhi ngokuvamile eziningana ziyahlanganiswa ukuze zimboze izimo zokusetshenziswa eziyinkimbinkimbi.

Amathuluzi nezinqubo zokubhala izichasiselo zefayela njengesethi yedatha

Ukurekhoda idatha ngesilinganiso kudinga amathuluzi athile kanye nemisebenzi ecatshangelwe kahleAkufani nokulebula izithombe ezimbalwa ngesandla njengoba kunjalo ukuphatha amakhulu ezinkulungwane zezibonelo ngezindlela eziningi namaqembu asakazeke kuzo zonke izindawo zesikhathi eziningana.

Ekubukeni kwekhompyutha, kusetshenziswa izixazululo zomthombo ovulekile njenge-LabelImg (yamabhokisi ahlanganisayo), i-CVAT (yesichasiselo sesithombe nevidiyo esiyinkimbinkimbi esinezici zokubambisana), noma amapulatifomu ezentengiselwano njenge-Labelbox noma i-SuperAnnotate, okuhlanganisa ukuhlaziywa kwekhwalithi, ukuphathwa kwephrojekthi, kanye nokwenza ngokuzenzakalela. Ngombhalo, amathuluzi afana ne-Prodigy, i-LightTag, i-BRAT, noma i-Datasaur enza kube lula ukuchazwa kwezinhlangano, ukuhlukaniswa, ukuncika kokuhlanganiswa kwezakhi zofuzo, kanye nobudlelwano, ngokulandelela okuningiliziwe kwama-annotator kanye nezingxabano.

Kumsindo, isofthiwe efana ne-Label Studio, i-Praat, noma i-Sonix ivumela ukuhlukaniswa okunembile, ukubhalwa phansi, kanye nokulebula imisindo. Ngedatha ye-multimodal, amaphrojekthi alula njenge-VGG Image Annotator (VIA) noma izinhlelo zokusebenza ezifana ne-RectLabel zinikeza isisekelo esiguquguqukayo sokuvumelanisa izichasiselo kuzo zonke izinhlobo zedatha. Futhi kumaphrojekthi adinga ivolumu ephezulu kanye nesivinini, amapulatifomu afana ne- ukuzenzekela kanye nokubambisana okukhulu njenge-Amazon SageMaker Ground Truth, i-Scale AI, i-DataLoop noma izixazululo ezisebenzisanayo njenge-Digma noma i-Hive Data.

Ukukhetha ithuluzi akuyona nje indaba yokuzikhethela komuntu siqu: udinga ukucabangela uhlobo lwedatha, isabelomali, usayizi weqembu, isidingo sokusebenzisana ngesikhathi sangempela, kanye nosayizi wedatha. Cishe wonke amapulatifomu athuthukile afaka izici zokuqinisekisa imithetho eyisisekelo, ukuphatha izingxabano, ukulinganisa umkhiqizo kanye nekhwalithi, kanye nokuhlanganisa izichasiselo zabantu neziphakamiso ezenzakalelayo ezikhiqizwe amamodeli akhona kakade.

Ngaphandle kwethuluzi ngokwalo, ikhwalithi inqunywa yinqubo. iziqondiso zezichasiselo ezicacile kakhulu nezisesikhathiniLokhu kuhilela ukuqeqesha abachazi (ikakhulukazi emikhakheni ebucayi njengezokwelapha), ukuhlela ukubuyekezwa okuphambene, ukuchaza izilinganiso zekhwalithi (isivumelwano phakathi kwabachazi, ukunemba, ukukhumbula), kanye nokusebenzisa idatha "yezinga legolide" eqinisekiswe ngochwepheshe ukuze kulinganiswe ithimba. Ukubhala ifayela njengesethi yedatha yobuhlakani akuyona i-sprint, kodwa umjikelezo oqhubekayo, ophindaphindayo.

Amaphrojekthi amaningi akhetha indlela ehlanganisiwe: imisebenzi elula noma ephindaphindwayo (isb., ukutholwa kwezinto zangaphambi kwesikhathi noma ukuhlukaniswa kombhalo kusengaphambili) izenzekela, futhi umsebenzi wabantu ugcinelwe amacala angacacile, ayinkimbinkimbi, noma anethonya elikhuluLokhu kunciphisa izindleko ngaphandle kokulahla ikhwalithi futhi kuvumela abafaka amaphuzu ukuthi bagxile lapho benezela khona inani elikhulu.

Izinhlelo zokusebenza zangempela zamasethi edatha anezichasiselo kanye nobuhlakani

Ukuphatha ifayela njengesethi yedatha yobuhlakani akuyona into eqanjiwe: inezinhlelo zokusebenza eziqondile emikhakheni eminingi lapho izichasiselo kanye nokuhlelwa kwezithombe kubalulekile ekusetshenzisweni kwe-AI ethembekile. Embonweni wekhompyutha, isibonelo, amasethi ezithombe namavidiyo anezichasiselo avumela ukuthuthukiswa kwezinhlelo zokuqaphela ubuso, ukutholwa kwezinkinga kuma-X-ray noma kuma-MRI, ukuhlolwa kwefektri okuzenzakalelayo, noma izimoto ezizimele ezisebenzisa Bahlonza abahamba ngezinyawo, izimpawu, kanye nezithiyo ngesikhathi sangempela

  Amagugu Angcono Kakhulu we-Google Gemini: Gcwalisa umhlahlandlela, izibonelo, nokuthi zingakha kanjani

Ekucubungulweni kolimi lwemvelo, amasethi edatha ahlelwe kahle futhi achazwe kahle avumela imisebenzi efana nokuhlaziywa kwemizwa ezinkundleni zokuxhumana, ukuhlukaniswa kwemibuzo enkonzweni yamakhasimende, ukukhishwa kwebhizinisi kumadokhumenti asemthethweni, ukuhumusha ngomshini, noma ama-chatbot okuqeqesha aqondayo izimo ezingokomzwelo nezimo zamasikoIngobo yomlando yomuntu siqu yezihloko ingaba yisisekelo somsizi okhethekile, ngaphambi kokushicilela okuthile okusha, obuyekeza lokho osekushiwo kakade, athole ukuphindaphinda, noma abone izinguquko esimweni sokuma eminyakeni edlule.

Impilo kanye ne-biotechnology kuncike kakhulu kumasethi edatha anezincazelo eziningi: izithombe zezokwelapha ezinezifo eziqinisekisiwe, amarekhodi emitholampilo ahlelekile, kanye nokulandelana kwezakhi zofuzo okubhalwe ngezinguquko ezifanele. Ezimotweni nasekuthuthweni, idatha ibalulekile ekushayeleni okuzenzakalelayo, ukuhlela umzila ngobuhlakani, kanye nokuphathwa kwethrafikhi. Kwezentengiselwano nasebhange, isetshenziselwa Abancomi bomkhiqizo, ukutholwa kokukhwabanisa, kanye nokuhlaziywa kwengozi.

Eminye imikhakha efana nezolimo ezinembile, imvelo, ukuphepha nokuzivikela, imidlalo yevidiyo, iqiniso elingokoqobo, imfundo, kanye nocwaningo lwesayensi isebenzisa amasethi edatha anezincazelo ukuqapha izitshalo, ukuhlaziya izithombe zesathelayithi, ukudala okuhlangenwe nakho okujulile, ukwenza kube ngokwakho ukufunda, noma ukusheshisa ukutholwa kwebhayoloji noma i-astrophysics. Kuzo zonke, i-logic iyafana: Isakhiwo esingcono futhi okubhaliwe (isibonelo, nge Amafayela e-README) Uma isethi yedatha ingcono, amamodeli aklanywe kuyo azoba ngcono..

Uma sibheka ifayela njengesethi yedatha yobuhlakani kukhiye womuntu siqu, inani lisemandleni buza ngokushesha konke okwaziyo nokubhalayoUkuqonda ukuthi imibono yakho ithuthuke kanjani, ukuthola izikhala zezihloko, ukuxhumanisa imibhalo evela ezikhathini ezikude, nokusebenzisa leyo nkumbulo eyandisiwe kwezinye izimo, njengokufundisa, ucwaningo, noma isu lebhizinisi. Konke lokhu ngaphandle kokunikeza umbhalo emshinini, kodwa kunalokho ukusebenzisa i-AI njengethuluzi lokusekela ukuqinisekisa idatha, ukusesha izinkomba, noma ukuhlola izimpikiswano.

Lapho ungathola khona amasethi edatha nokuthi ukudalwa kwawo kwenziwa kanjani ngokuzenzakalelayo

Akuwona wonke amasethi edatha avela kumafayela omuntu siqu: amaningi avela ku- izindawo zokugcina ezivulekile kanye nemithombo yomphakathi Lezi zinsiza ziwusizo ekuqeqesheni nasekuhloleni amamodeli, noma kumaphrojekthi ocwaningo, ubuntatheli bedatha, kanye nokuhlaziywa kwamasu. I-inthanethi kakade inikeza ingcebo yezinsiza ezingasetshenziswa, njalo ngokucatshangelwa okufanelekile kwezomthetho nokuziphatha.

Isibonelo, inethiwekhi yokuxhumana nabantu i-X (eyayikade iyi-Twitter), inikeza ama-API avumela abasebenzisi ukuthi baqoqe ama-tweets ahlungiwe ngama-hashtag nezinye izindlela. Le datha ingabe ihlelwa ibe amathebula futhi iboniswe ngamathuluzi afana ne-Tableau. I-Google Dataset Search inikeza injini yokusesha ekhethekile yamasethi edatha yomphakathi, lapho abasebenzisi bangathola khona konke kusukela kudathabheyisi yebhizinisi kuya kuzibalo zemboni. Amabhulogi afana ne-FiveThirtyEight ashicilela amasethi awo edatha kwezepolitiki, ezemidlalo, kanye nomphakathi ukuze noma ubani akwazi ukuphinda noma ukwandisa ukuhlaziya kwakhe.

Ngesikhathi esifanayo, zisetshenziswa kakhulu izindawo ezilingisiwe ukuze zikhiqize ngokuzenzakalelayo idatha echazweIkakhulukazi emikhakheni efana nezimoto ezizimelayo, lapho ukudala kabusha zonke izimo zangempela emhlabeni ongokoqobo kungaba kancane, kubize kakhulu, futhi kuyingozi. Ama-simulators avumela ukukhiqizwa kwezithombe namavidiyo anezichasiselo eziphelele (izindawo zezinto, izimo zezulu, izindlela zokuhamba) kanye nokuhlola izimo ezimbi kakhulu okunzima ukuzibamba kudatha yangempela.

Ikusasa likhomba ekuhlanganisweni kwedatha yangempela ekhethiwe, izingobo zomlando zomuntu siqu eziphathwa njenge-corpora yengqondo, kanye nedatha yokwenziwa ekhiqizwe ekulingiseni, konke kuhlanganiswe namasu okufunda aqondisiwe, angagadiwe kancane, angagadiwe, kanye namasu okufunda aqondisiwe. Isichasiselo sizohlala siyisici esibalulekile, kodwa sisizwa kakhulu ngamamodeli asebenzisa Baphakamisa amalebula, bathole ukungahambisani, futhi balinganise ukucwasa.ngishiya izinqumo ezinhle kubantu.

Kulesi simo, ubukhulu bokuziphatha nokulawula buba yinto ebalulekile: ukuphatha amafayela omuntu siqu njengamasethi edatha kudinga ukuhlonipha ubumfihlo, ilungelo lobunikazi kanye nokulindelwe kokusetshenziswa, kuyilapho amapulatifomu okusebenzisana kwabantu abaningi noma ukubambisana okukhulu kumele aqinisekise izimo ezifanele zabachazi kanye nokucaca mayelana nokuthi yimaphi amamodeli aqeqeshwe ngedatha ayikhiqizayo.

ifayela lomuntu siqu njengesisekelo solwazi

Uma lonke lolu chungechunge luphathwa ngokucophelela—kusukela ekukhipheni ifayela lomuntu siqu kuya ekuvezeni i-vector, ekudwebeni amagrafu, ekutholeni indawo, ekubhaleni amanothi, ekuzivuseleleni ngokuzenzakalelayo, nasekulixhumaniseni nabasizi be-AI—uthola okuthile okumbalwa kakhulu ababhali, izinkampani, noma izinhlangano ezinakho namuhla: a isethi yedatha yengqondo ejulile, ehambisanayo nephilayookwaziyo ukuqinisa izinhlelo zobuhlakani bokwenziwa ezihambisana ngempela nezwi, umongo, kanye nemigomo yalabo abaziqhubayo, kanye nokusebenza njengenkumbulo ende ezweni eligcwele ulwazi.

izingobo zomlando ze-podcast
I-athikili ehlobene:
Ama-podcast kanye nezingobo zomlando: indlela umsindo oletha ngayo inkumbulo yamadokhumenti empilweni