Ungayisebenzisa Kanjani I-AI Echazwayo Yezinqumo Zebhizinisi Ezingcono

Mina nezinhlangano ezingenakubalwa ezizungezwe idatha eningi kunokuba zazi ukuthi yenzeni. Amamethrikhi agcwala yonke indawo, kusukela kuzinombolo zethrafikhi zewebhusayithi kuya emibonweni yezikhangiso namazinga okuguqulwa. Nokho, ngandlela thile, izinqumo zisazwakala njengokuqagela. Inkinga akukhona ukuntula idatha; ukuthi idatha iyodwa ayiholeli ekuqondeni, futhi ngokuqinisekile hhayi esenzweni. Ushintsho lwangempela lwenzeka lapho lolo lwazi lwakhiwe, luhunyushwa, futhi lusetshenziselwa ukuqondisa ibhizinisi ngokucacile nangokuzethemba. Ukusetshenziswa okuhlakaniphile kwe-AI nezibalo ezithuthukisiwe kunganikeza lokhu.

Kodwa isho ukuthini i-AI? Empeleni, i-Artificial Intelligence ayilona uhlelo olulodwa, uhlelo lokusebenza, noma irobhothi. Kuyisistimu enenqwaba yezinhlelo ezingaqoqa idatha yomlando, ibone amaphethini, isebenzise lawo maphethini ukuze ibikezele ikusasa, futhi ibonise imiphumela kumsebenzisi wokugcina. Ukwakha uhlelo olufana nalolu kuwumdlalo weqembu, lapho indima ngayinye inikela engxenyeni eyodwa yepayipi. Ake sihambe esigabeni ngasinye sesistimu, sibone ukuthi zixhuma kanjani, futhi sifunde ukuthi isigaba ngasinye sivumela ini ukwenza izinqumo zangempela:

Qoqa Idatha: Qoqa amasiginali afanelekile emikhiqizweni, abasebenzisi, imisebenzi, namashaneli. Chaza ukuthi yini erekhodwayo, kangaki, futhi ikuliphi izinga lemininingwane. Gcina izihlonzi ukuze imicimbi ixhunywe ngokuhamba kwesikhathi.

Lungiselela Idatha: Hlanza, linganisa, futhi ujoyine imithombo. Lungisa ukumaka, phatha amanani angekho, futhi udale izici ezithembekile ezosetshenziswa imodeli. Izincazelo zedatha yedokhumenti nokuhlolwa kwekhwalithi.

Yakha Imodeli: Qeqesha imodeli ebikezela umphumela wentshisekelo. Qinisekisa ukunemba, hlola ukulinganisa, futhi urekhode ukuqagela. Khetha indlela elinganisa ukusebenza nokucaca.

Qagela imiphumela: Sebenzisa imodeli kumarekhodi amanje ukuze ukhiqize amathuba namanani alindelekile. Hlanganisa izibikezelo kuhlaka lwesikhathi noma ibhizinisi ohlela ukuliphatha.

Isixhumi esibonakalayo somsebenzisi: Letha imininingwane lapho abantu besebenza khona. Bonisa abashayeli, izitayela, nezenzo ezinconyiwe ngendlela ecacile. Kwenze kube lula ukubuza imibuzo, sebenzisa izimo, kanye nemiphumela yokuthekelisa.

Thwebula Imiphumela: Rekhoda imiphumela yangempela kanye nokokufaka okuholele kuyo. Nikeza okutholiwe emuva kumodeli ukuze ufunde kudatha esanda kuqoqwa.

Kusukela kuma-ejenti ezingxoxo afana ne-ChatGPT kuya ezimotweni ezizimele kanye nezinjini zokulawula okuqukethwe ezinkundleni zokuxhumana, isistimu ye-AI eyisisekelo ihlala ingashintshile. Ngayinye yazo iqoqa idatha, iyicubungule ngaphakathi, yakha amamodeli, futhi yenza izibikezelo. Lezi zibikezelo zilethwa kubasebenzisi ngokusebenzisa izixhumanisi ezijwayelekile, futhi imiphumela yona ibuyiselwa kusistimu njengedatha entsha. Iluphu iyaqhubeka.

Ngaphandle kwe-anatomy yabo eyabiwe, lezi zinhlelo azakhelwe imigomo efanayo. Ngemoto ezimele, asikho isikhala sokungaqondakali. Isistimu kufanele ibone isithiyo futhi isigweme, ngokushesha nangokungenaphutha. Asikho isidingo semanuwali yomsebenzisi, kuphela sokuphelela komshini. Ngokufanayo, i-algorithm ngemuva kokuphakelwa kwenkundla yezokuxhumana ayidingi ukuchaza ukuthi kungani ikhethe okuthunyelwe okuthile; idinga kuphela ukugcina umsebenzisi eskrola.

Lawa mamodeli akhelwe ukunemba esikalini. I-Neural Networks ngemuva kwalawa mamodeli iyachuma ngokuba yinkimbinkimbi futhi iqeqeshwa ngezigidigidi zamaphoyinti edatha. Ukusebenza kwabo kwangaphakathi, nokho, kuningi okungaphenduki. Siwabiza ngamabhokisi amnyama ngoba nabadali bawo abakwazi ukuchaza ngokugcwele ukuthi izibikezelo zomuntu ngamunye zenziwa kanjani. Futhi ezinhlelweni eziningi, lokho kufiphala kwamukelekile. Imiphumela ibaluleke ngaphezu kwesizathu.

Kodwa hhayi njalo.

I-AI echazekayo

Ebhizinisini, futhi ikakhulukazi e-commerce kanye nokudayisa, the ngani okubalulekile njengalokhu ini. Ukwazi ukuthi ikhasimende lingase lithenge kuyasiza. Ukwazi ukuthi kungani lelo khasimende kungenzeka lithenge kuyaguqula. Uma imodeli ingakwazi ukuchaza ukucabanga kwayo, ibhizinisi alikwazi ukufunda, alikwazi ukuzivumelanisa nezimo, futhi alikwazi ukukhulisa. Ukuqonda ngaphandle kokuhumusha kuwulwazi olungenalo ithonya. Yilapho i-AI echazekayo ingena khona esiteji. I-AI echazekayo iyenqaba ukucasha ngemuva kobunzima. Ayakhelwe ukubikezela imiphumela kuphela, kodwa ukuveza amandla abangela leyo miphumela. Ezweni lapho ukwethenjwa kutholwa khona futhi isenzo samasu sibalulekile, ukutolika kuba yinzuzo yokuncintisana.

I-AI echazekayo incike kuma-algorithms enza ibhalansi yangamabomu phakathi kokunemba nokuba sobala. Lawa mamodeli avame ukuba yinkimbinkimbi kancane kune-neural network ozakwabo, kodwa ahlinzeka ngokuhwebelana okubalulekile: ikhono lokubona ngaphakathi komshini. Ngamathuluzi afanele, umuntu angakwazi ukubona ukuthi yiziphi izici ezibe nomthelela ekubikezelweni, ngezinga elingakanani, futhi ngakuphi. Kusenjalo, ibhokisi elimnyama liphenduka ingilazi.

Leli zinga lokuqonda liwusizo ikakhulukazi kubaholi bebhizinisi abafuna ukuphendula imibuzo esebenzayo necindezelayo. Cabanga ngebhizinisi le-e-commerce elinethrafikhi eqinile yewebhusayithi kodwa amanani okuguqulwa abuthaka. Lena eminye yemibuzo esengiyizwe kaningi:

• Obani amakhasimende kakhulu/amathuba amancane kakhulu okuthenga?
• Yiziphi izinyathelo kufaneli eziholela ekuyekeni?
• Ingabe ukuziphatha kokuthenga kwehluka kanjani ngesiteshi, isifunda, noma idivayisi?
• Yimiphi imikhiqizo ekhulisa amathuba okuthenga?

Lena akuyona imibuzo ecatshangelwayo. Izinkinga zangempela ezinezimpendulo ezilinganisekayo, ezembulwa ngamamodeli achazekayo. Futhi ziholela esenzweni sangempela. Ukuqondisa kabusha ukusetshenziswa kwezikhangiso, ukuklama kabusha amakhasi okufika, ukubeka phambili imikhiqizo esebenza kahle kakhulu. Ukuqonda ngakunye kuba yisinyathelo esiqonde endleleni efanele. Imibono ecacile iphendula imibuzo abanikazi abayibuza kakhulu. Yiziphi iziteshi ezibalulekile, yimaphi amakhasi athonyayo, nokuthi yiziphi izenzo ezizosusa imali engenayo kule kota.

Ukuqonda 1: Amakhasimende asuka e-California anamathuba angu-10% okuthenga umkhiqizo wakho kunawanoma yisiphi esinye isifunda.

Isenzo 1: Khulisa imizamo yokuthengisa eCalifornia.

Ukuqonda 2: Amakhasimende angena kuwebhusayithi ngosesho lwemvelo kungenzeka ukuthi athenge kunalawo angena ngezikhangiso zedijithali.

Isenzo 2: Izinsiza ezisetshenziswe ku-SEO zibaluleke kakhulu kunalezo ezichithwa ezikhangisweni.

Ukuqonda 3: Amakhasimende avakashela ikhasi loMkhiqizo X maningi amathuba okuthi athenge ngo-20%.

Isenzo sesi-3: Yakha kabusha iwebhusayithi ukuze ufake lo mkhiqizo odumile ekhasini lasekhaya.

Lawa maphethini ngokuvamile ahlala efihliwe kumnikazi webhizinisi. Kodwa, lapho zembulwa, ngibabonile beguqula indlela inhlangano esebenza ngayo. Ukulinganisa ukuthi yini ethinta amathuba okuthenga kuphumela ezinqumweni ezizethemba kakhulu nezisebenza ngempumelelo. Lena inhliziyo yokwenza izinqumo eziqhutshwa yidatha yangempela.

I-Mechanics of Meaning

Ukuze uthembele izibikezelo, abantu badinga ukubona ukuthi kungani izinombolo zihamba. Amasu okuhlaziya athuthukile asiza ukuchaza amamodeli ngokuphendula imibuzo ebaluleke kakhulu mayelana nedatha esetshenziswa kumamodeli.

Yiziphi izici ezibaluleke kakhulu: Sifuna ukuqonda ukubaluleka kwesici kuyo yonke idathasethi. Lokhu sikwenza ngokuklelisa okuguquguqukayo ngeqhaza lazo ekuqaguleni futhi sigxile kubashayeli abaphezulu.

Amathuba ahluka kanjani: Sifuna ukubona ukuthi amathuba abikezelwe ashintsha kanjani njengoba isici esisodwa sishintsha. Senza lokhu ngokubheka amathuba abikezelwe amaphakathi kumanani ahlukene aleyo nto kanye nokubona ama-threshold noma imithelela engaqondile.

Kungani lesi sibikezelo senzeka: Sifuna ukuchaza isibikezelo somuntu ngamunye. Senza lokhu ngokufaka izingxenye zesikolo kokokufaka ngakunye ukuze sibonise ukuthi yiziphi izici ezikuphushele phezulu noma phansi.

Yini engashintsha umphumela: Sifuna ukwazi ukuthi yiziphi izinguquko ezingashukumisa amathuba ngendlela ephusile. Senza lokhu ngokulingisa izinguquko ezincane, ezingokoqobo kokufakwayo nokulinganisa ukuqagela okusha, bese siveza ezimbalwa ngomthelela omkhulu kakhulu.

Ndawonye, ​​lezi zindlela zikhanyisa ingqondo yemodeli, isinyathelo ngesinyathelo, isici ngesici. Nokho, ukuhlanganisa indaba kusengaba inselele. Kungumsebenzi wososayensi wedatha ukuhumusha imiphumela yemodeli futhi iqondanise nobungcweti besizinda ukuze kwakhiwe ukulandisa kokugcina. Yilapho umsebenzi wezandla ubalulekile khona. Ngithole ukuthi izincazelo ezinhle kakhulu aziveli nje ekusebenziseni ama-algorithms angcono kakhulu, kodwa ngokwazi ukuthi yimiphi imibuzo ibhizinisi elizama ukuyiphendula ngempela.

Imibono iyisiqalo kuphela

I-AI echazekayo inikeza ibhuloho phakathi kobunzima bobuchwepheshe kanye nokucaca kwebhizinisi. Idala ukuqondana. Inikeza ukukhanya ngaphandle kokudela ukusebenza. Futhi okubaluleke kakhulu, kunikeza abaholi bebhizinisi amandla hhayi nje ukwazi, kodwa ukwenza.

Kodwa ukuqonda akuyona indawo oya kuyo. Iphedi yokuqalisa. Uma ibhizinisi selazi ukuthi yini eqhuba ukuziphatha kokuthenga, kunezindlela eziningi zokusebenzisa lolu lwazi ukwenza izinqumo zebhizinisi ezihlakaniphile. Nazi izibonelo:

Izibikezelo

Ibhizinisi lakho lidinga ukuhlela kusenesikhathi; futhi ukubikezela kukunikeza indlela yokwenza lokho. Kukusiza ukuthi ulinganisele ukuthi yimalini engenayo ongayilindela esikhathini esithile usebenzisa idatha yangempela, hhayi ukuqagela. Ukuze wenze lokhu, uqala ngemodeli yakho yamathuba okuthenga. Bese, phinda amathuba isivakashi ngasinye esizowathenga ngenani lamaseshini olindele ukuwathola. Lokho kukunikeza isilinganiso esiphelele.

Kuthiwani-Uma Izimo

Wakhe isibikezelo sakho, ulandela imiphumela, futhi uthole ukuthi yini esebenzayo nengasebenzi. Kodwa manje ufuna ukubuza umbuzo omusha: kuthiwani uma?

Kuthiwani uma usebenzisa imali ephindwe kabili yesikhangiso sakho? Kuthiwani uma uyeka umkhiqizo? Kuthiwani uma umkhankaso uhamba ngegciwane? Lezi izinqumo ezinemiphumela yangempela; futhi kuthiwani-uma izimo zikunikeza indlela yokuzihlola ngaphambi komnyakazo. Lezi zifaniso zikuvumela ukuthi uhlole ukuthi imiphumela yakho ingashintsha kanjani uma uthatha indlela ehlukile. Leli ithuluzi elihle kumnikazi webhizinisi ukuze abone umthelela ongaba khona wesinqumo ngaphambi kokwenza.

Amaphrofayili Ekhasimende

Akuwona wonke amakhasimende aziphatha ngendlela efanayo. Abanye baphequlula ngokushesha futhi bahambe. Abanye babuyela ngokuphindaphindiwe. Abanye baphuma ezinkundleni zokuxhumana, abanye bevela ezikhangisweni. Isibikezelo sikutshela ukuthi yini engenzeka, kodwa ukuze wazi ukuthi kungani, udinga ukuqonda ukuthi ubani owenza isenzo ngasinye. Udinga ukuhlukaniswa kwekhasimende.

Ukwenza iphrofayela yekhasimende kusiza ibhizinisi ukuthi liqonde izinhlobo ezihlukene zabantu abavakashela isitolo sakho. Ngokuhlonza amaphethini ekuziphatheni nasekuthandeni kwabo, ibhizinisi lingenza izinqumo ezisebenza ngempumelelo.

Isiphetho

Umnikazi webhizinisi uyisidalwa esinesibindi nesidelelayo. Lolu hlobo lwabantu lunogqozi kanye nesifiso sokuvelela ngokungafani nezinye; nakuba kaningi kunalokho, eqondiswa ukwahlulela okuyimpumputhe. UShakespeare wayengumfundi oqinile wolimi lwesiNgisi, uMozart wafunda umculo njengabambalwa abanawo, futhi ngisho nabasubathi banamuhla bachitha amahora amaningi bebuka ifilimu futhi befunda abaphikisi masonto onke. Bathola ulwazi, bayaluqonda, futhi benze imisebenzi esekelwe kulolu lwazi. Baba ngcono kanjalo. Kodwa nokho, ngibone idlanzana labantu abakhaliphile benza izinqumo ezisekelwe entuthukweni kuphela. Hhayi ngoba bengayazisi idatha, kodwa ngenxa yokuthi idatha abanayo ayibatsheli ukuthi benzeni ngokulandelayo.

Ngokuveza amaphethini, imiphumela yokubikezela, kanye nokudalula ukuthi yiziphi izenzo ezinyakazisa inaliti, amasistimu e-AI asiza umnikazi webhizinisi ukuthi abone ngokucacile kunangaphambili. Umgomo awukona nje ukufunda imininingwane, kodwa ukuqonda ukuthi bangenza kanjani ibhizinisi libe yimpumelelo.

Lokhu wukwenza izinqumo kweqiniso okuqhutshwa yidatha.