Isetshenziswa kanjani i-AI ukuze ikhiqize kakhudlwana.

Isetshenziswa kanjani i-AI ukuze ikhiqize kakhudlwana.

Ufuna inguqulo emfushane? Ungathumela okuningi ngokuphikisana okuncane ngokumatanisa ingqondo yakho nokugeleza komsebenzi kwe . Hhayi nje amathuluzi - ukuhamba komsebenzi . Umnyakazo uwukuguqula imisebenzi engacacile ibe yimiyalelo ephindaphindwayo, ukuhambisa ngesandla ngokuzenzakalelayo, nokugcina imigqa yokuqapha iqinile. Uma usuwabonile amaphethini, kuyenzeka ngendlela emangalisayo.

Izindatshana ongathanda ukuzifunda ngemva kwalesi:

🔗 Ungayiqala kanjani inkampani ye-AI
Umhlahlandlela wesinyathelo ngesinyathelo sokuqalisa ukuqalisa kwe-AI okuyimpumelelo.

🔗 Indlela yokwenza imodeli ye-AI: Izinyathelo ezigcwele zichazwe
Ukuhlukaniswa okuningiliziwe kwazo zonke izigaba ekwakheni amamodeli e-AI.

🔗 Iyini i-AI njengesevisi
Qonda umqondo nezinzuzo zebhizinisi zezixazululo ze-AIaaS.

🔗 Izindlela zomsebenzi wobuhlakani bokwenziwa: Imisebenzi engcono kakhulu ku-AI nokuthi ungaqala kanjani
Hlola izindima eziphezulu ze-AI nezinyathelo zokuqala umsebenzi wakho.

Ngakho... “indlela yokusebenzisa i-AI ukuze ikhiqize kakhudlwana” ?

Ibinzana lizwakala lilihle, kodwa iqiniso lilula: uthola izinzuzo ezihlanganisiwe lapho i-AI yehlisa ukuvuza kwezikhathi ezintathu ezinkulu- 1) kusukela ekuqaleni, 2) ukushintsha umongo, kanye 3) nokusebenza kabusha .

Izimpawu ezibalulekile ukuthi uyenza kahle:

  • Isivinini + ikhwalithi ndawonye - okusalungiswa kuya ngokushesha futhi kucace ngesikhathi esisodwa. Ukuhlolwa okulawulwayo ekubhaleni okuphrofeshinali kubonisa ukuncishiswa kwesikhathi okukhulu okuhambisana nezinzuzo zekhwalithi uma usebenzisa isikafula esilula esisheshayo kanye neluphu yokubuyekeza [1].

  • Umthwalo wengqondo ophansi - ukuthayipha okuncane ukusuka ku-zero, ukuhlela okwengeziwe nokuqondisa.

  • Ukuphindaphinda - usebenzisa kabusha ukwaziswa esikhundleni sokuzisungula kabusha isikhathi ngasinye.

  • Izimiso zokuziphatha futhi ziyathobelana ngokuzenzakalela - ubumfihlo, ukuchasisa, kanye nokuhlolwa kokuchema kuyabhakwa, akuvaliwe. I-NIST's AI Risk Management Framework (GOVERN, MAP, MEASURE, MANAGE) iyimodeli yengqondo ehlanzekile [2].

Isibonelo esisheshayo (inhlanganisela yamaphethini eqembu elivamile): bhala ukwaziswa "komhleli oshubile" osebenziseka kabusha, engeza ukwaziswa kwesibili "kokuhlola ukuthobela imithetho", bese uxhume isibuyekezo esiyizinyathelo ezimbili ngentambo kusifanekiso sakho. Okukhiphayo kuyathuthuka, ukwehluka kuyehla, futhi uthwebula lokho okusebenza ngokuzayo.

Ithebula lokuqhathanisa: Amathuluzi e-AI akusiza ngempela ukuthi uthumele izinto eziningi 📊

Ithuluzi Kuhle kakhulu Inani* Kungani isebenza ngokusebenza
I-ChatGPT ukubhala okujwayelekile, umbono, QA mahhala + ikhokhwe okusalungiswa okusheshayo, ukwakheka ngokufunwa
I-Microsoft Copilot Ukugeleza komsebenzi wasehhovisi, i-imeyili, ikhodi kufakwe kuma-suites noma kukhokhelwe ihlala ku-Word/Outlook/GitHub-less switching
I-Google Gemini iziyalezo zocwaningo, amadokhumenti-amaslayidi mahhala + ikhokhwe amaphethini amahle wokubuyisa, ukuthunyelwa ngaphandle okuhlanzekile
Claude amadokhumenti amade, ukucabanga ngokucophelela mahhala + ikhokhwe iqinile ngomongo omude (isb, izinqubomgomo)
Umbono we-AI amadokhumenti ethimba + izifanekiso Engeza okuqukethwe + umongo wephrojekthi endaweni eyodwa
Ukuxakeka izimpendulo zewebhu ngemithombo mahhala + ikhokhwe izingcaphuno-ukugeleza kocwaningo lokuqala
I-Otter/Izimpukane amanothi omhlangano + izenzo mahhala + ikhokhwe izifinyezo + izinto zesenzo ezivela emibhalweni
Zapier/Make glue phakathi kwezinhlelo zokusebenza i-tiered yenza ngokuzenzakalelayo ama-handoffs ayisicefe
I-Midjourney/Ideogram ezibukwayo, izithonjana ikhokhiwe ukuphindaphinda okusheshayo kwamadekhi, okuthunyelwe, izikhangiso

*Ukushintsha kwamanani; shintsha amagama epulani; phatha lokhu njengokuqondisa.

Icala le-ROI lokukhiqiza kwe-AI, ngokushesha 🧮

  • Ukuhlolwa okulawulwayo okutholwe ukuthi usizo lwe-AI lunganciphisa isikhathi sokuqedela imisebenzi yokubhala futhi luthuthukise ikhwalithi yokusetshenziswa kochwepheshe abasezingeni elimaphakathi ~40% ukuncishiswa kwesikhathi njengebhentshimakhi yokugeleza komsebenzi wokuqukethwe [1].

  • Ekusekelweni kwamakhasimende, umsizi we-AI okhiqizayo ukhuphule izinkinga ezixazululwa ngehora ngokwesilinganiso, ngezinzuzo ezinkulu ikakhulukazi zama-ejenti amasha [3].

  • Konjiniyela, ukuhlola okulawulwayo kubonise ababambiqhaza abasebenzisa umbhangqwana we-AI baqedele umsebenzi ~56% ngokushesha kuneqembu lokulawula [4].

Ukubhala namakholamu angayidli intambama yakho ✍️📬

Isimo: amafushane, ama-imeyili, iziphakamiso, amakhasi okufika, izikhala zemisebenzi, ukubuyekezwa kokusebenza-abasolwa abavamile.

Ukugeleza komsebenzi ongakwazi ukukuntshontsha:

  1. Isikafula esisheshayo esisebenziseka kabusha

    • Iqhaza: "Ungumhleli wami onesibindi olungiselela ukufushaniswa nokucaca."

    • Okufakwayo: inhloso, izethameli, iphimbo, kufanele kufakwe izinhlamvu, igama eliqondiwe.

    • Izithiyo: azikho izimangalo ezingokomthetho, ulimi olulula, isipelingi saseBrithani uma lokho kuyisitayela sakho sendlu.

  2. Hlaziya kuqala - izihloko, izinhlamvu, ukubizela esenzweni.

  3. Okusalungiswa ngezigaba - isingeniso, isiqephu somzimba, i-CTA. Amaphasi amafushane azizwa engesabi kakhulu.

  4. Iphasi yokuqhathanisa - cela inguqulo ephikisa okuphambene. Hlanganisa izingcezu ezinhle kakhulu.

  5. Ukugunyazwa kokuthobela - cela izimangalo eziyingozi, izingcaphuno ezingekho, nokungaqondakali okuhlatshwe umkhosi.

Ithiphu yochwepheshe: vala izikafula zakho zibe izinwebe zombhalo noma izifanekiso (isb, i-cold-email-3 ). Ama-emojis afafaza afundeka ngokuhlakanipha eziteshini zangaphakathi.

Imihlangano: ngaphambi → phakathi → ngemva 🎙️➡️ ✅

  • Ngaphambi - phendula i-ajenda engacacile ibe imibuzo ebukhali, izinto zobuciko ozozilungiselela, namabhokisi esikhathi.

  • Ngesikhathi - sebenzisa umsizi womhlangano ukuze uthwebule amanothi, izinqumo, nabanikazi.

  • Ngemva - kokukhiqiza ngokuzenzakalelayo isifinyezo, uhlu lwezingozi, kanye nokusalungiswa kwesinyathelo esilandelayo sombambiqhaza ngamunye; namathisela ethuluzini lakho lomsebenzi nezinsuku ezimisiwe.

Isifanekiso sokulondoloza:
“Fingqa okulotshiwe komhlangano kube: 1) izinqumo, 2) imibuzo evuliwe, 3) izinto zesenzo nabanikezwayo abaqagelwe ngamagama, 4) ubungozi. Kugcine kufushane futhi kuskeneke. Hlaba umkhosi ngolwazi olulahlekile olunemibuzo.”

Ubufakazi obuvela ezindaweni zesevisi buphakamisa ukuthi usizo lwe-AI olusetshenziswe kahle lungakhuphula ukusebenza kanye nomuzwa wekhasimende-uphathe imihlangano yakho njengezingcingo zesevisi encane lapho ukucaca nezinyathelo ezilandelayo kubaluleke kakhulu [3].

Ukubhala amakhodi nedatha ngaphandle kwedrama 🔧📊

Ngisho noma ungabhali ikhodi yesikhathi esigcwele, imisebenzi encikene nekhodi ikhona yonke indawo.

  • Bhanqa izinhlelo - cela i-AI ukuthi iphakamise amasiginesha okusebenza, ikhiqize ukuhlolwa kweyunithi, futhi ichaze amaphutha. Cabanga "idada lerabha elibhala emuva."

  • Ukuma kwedatha - namathisela isampula encane bese ucela: ithebula elihlanziwe, amasheke angaphandle, kanye nemininingwane emithathu yolimi olulula.

  • SQL zokupheka - chaza umbuzo ngesiNgisi; cela i-SQL kanye nencazelo yomuntu ukuze uhlole ukujoyina.

  • Abaqaphi - usengumnikazi wokulunga. Ukukhushulwa kwesivinini kungokoqobo kuzilungiselelo ezilawulwayo, kodwa kuphela uma ukubuyekezwa kwekhodi kuhlala kuqinile [4].

Ucwaningo olungabuyisi ngokuzungeza ngamarisidi 🔎📚

Ukukhathala kokusesha kungokoqobo. Uncamela i-AI ecaphuna ngokuzenzakalela lapho iziteki ziphezulu.

  • Ukuze uthole amafuphi asheshayo, amathuluzi abuyisela imithombo engaphakathi komugqa akuvumela ukuthi ubone izimangalo ezintengantengayo uthi shazi.

  • Cela imithombo ephikisanayo ukuze ugweme ukubona emhubheni.

  • Cela isifinyezo sesilayidi esisodwa kanye namaqiniso amahlanu avikeleke kakhulu anemithombo. Uma ingakwazi ukusho, ungayisebenzisi ezinqumweni ezibalulekile.

Okuzenzakalelayo: namathisela umsebenzi ukuze uyeke ukukopisha-ukunamathisela 🔗🤝

Yilapho ukuhlanganisa kuqala khona.

  • I-trigger - ukuhola okusha kuyafika, idokhumenti ibuyekeziwe, ithikithi losekelo limakiwe.

  • Isinyathelo se-AI - fingqa, hlukanisa, khipha izinkambu, imizwa yamaphuzu, bhala kabusha ithoni.

  • Isenzo - dala imisebenzi, thumela ukulandela komuntu siqu, buyekeza imigqa ye-CRM, thumela ku-Slack.

Amapulani amancane:

  • I-imeyili yekhasimende ➜ I-AI ikhipha inhloso + ukuphuthuma ➜ imizila yokufaka kulayini ➜ yehlisa i-TL;DR ku-Slack.

  • Inothi elisha lomhlangano ➜ I-AI idonsa izinto zesenzo ➜ idala imisebenzi enabanikazi/nezinsuku ➜ ithumela isifinyezo somugqa owodwa esiteshini sephrojekthi.

  • Ithegi yokusekela "inkokhelo" ➜ I-AI iphakamisa amazwibela empendulo ➜ ukuhlela komenzeli ➜ uhlelo lufaka impendulo yokugcina yokuqeqeshwa.

Yebo, kuthatha ihora ukuhlanganisa izintambo. Bese ikusindisa inqwaba yokugxuma okuncane njalo ngeviki, ekugcineni ulungisa isicabha esikhalayo.

Amaphethini asheshayo ashaya ngaphezu kwesisindo sawo 🧩

  1. Isemishi yokugxeka
    “Uhlaka X olunesakhiwo A. Bese uhlaziya ukuze uthole ukucaca, ukuchema, nobufakazi obungekho. Bese uyithuthukisa usebenzisa ukugxeka. Gcina zontathu izigaba.”

  2. I-Laddering
    “Nginike izinguqulo ezi-3: ezilula kosanda kufika, ukujula okumaphakathi kudokotela, izinga lochwepheshe elinezikhombo.”

  3. Isibhakela esiphoqayo
    “Phendula usebenzisa amaphuzu ezinhlamvu aphezulu kuphela amagama ayi-12 lilinye. Hhayi i-fluff. Uma ungaqiniseki, buza umbuzo kuqala.”

  4. Ukudlulisa isitayela
    “Bhala kabusha le nqubomgomo ngolimi olulula ukuthi umphathi omatasa uzogcina izigaba nezibopho zingashintshile.”

  5. Irada yengcuphe
    “Kusuka kulokhu okusalungiswa, faka izingozi ezingaba khona ezingokomthetho noma zezimiso zokuziphatha. Lebula ngayinye ibe nomthelela Ophakeme/Omaphakathi/ophansi kanye nomthelela. Phakamisa ukuncishiswa.”

Ukubusa, ubumfihlo, nokuphepha-ingxenye yabantu abadala 🛡️

Ubungeke uthumele ikhodi ngaphandle kokuhlolwa. Ungathumeli ukugeleza komsebenzi kwe-AI ngaphandle kwama-Guardrails.

  • Landela uhlaka - I-AI Risk Management Framework ye-NIST (GOVERN, MAP, MEASURE, MANAGE) ikugcina ucabanga ngezingozi kubantu, hhayi nje ubuchwepheshe [2].

  • Phatha idatha yomuntu siqu ngendlela efanele - uma ucubungula idatha yomuntu siqu kumongo we-UK/EU, namathela emigomeni ye-UK GDPR (ukuba semthethweni, ukulunga, ukubeka izinto obala, ukulinganiselwa kwezinjongo, ukunciphisa, ukunemba, imikhawulo yokugcina, ukuphepha). Isiqondiso se-ICO siyasebenza futhi siyamanje [5].

  • Khetha indawo elungile yokuqukethwe okubucayi - ncamela ukunikezwa kwebhizinisi elinezilawuli zokuphatha, izilungiselelo zokugcinwa kwedatha, namalogi ocwaningo.

  • Rekhoda izinqumo zakho - gcina ilogu engasindi yemiyalo, izigaba zedatha ezithintwayo, kanye nokunciphisa.

  • I-Human-in-the-loop ngokuklama - ababuyekezi bokuqukethwe okunomthelela ophezulu, ikhodi, izimangalo zomthetho, nanoma yini ebhekene nekhasimende.

Inothi elincane: yebo, lesi sigaba sifundeka njengemifino. Kodwa yindlela ogcina ngayo ukunqoba kwakho.

Amamethrikhi abalulekile: fakazela izinzuzo zakho ukuze zibambelele 📏

Landelela ngaphambi nangemuva. Kugcine kuyisicefe futhi kuthembekile.

  • Isikhathi somjikelezo wohlobo ngalunye lomsebenzi - i-imeyili esalungiswa, umbiko wokukhiqiza, vala ithikithi.

  • ekhwalithi - izibuyekezo ezimbalwa, i-NPS ephezulu, ukukhuphuka okumbalwa.

  • Umphumela - imisebenzi ngesonto, umuntu ngamunye, iqembu ngalinye.

  • Izinga lephutha - iziphazamisi zokuhlehla, ukuhlolwa kweqiniso kuyehluleka, ukwephulwa kwenqubomgomo.

  • Ukwamukela - ukubalwa kokusetshenziswa kabusha kwesifanekiso, ukugijima okuzenzakalelayo, ukusetshenziswa kwelabhulali ngokushesha.

Amaqembu athambekele ekuboneni imiphumela efana nezifundo ezilawulwayo lapho ebhangqa okusalungiswa okusheshayo nezihibe zokubuyekeza ezinamandla—okuwukuphela kwendlela izibalo ezisebenza ngayo isikhathi eside [1][3][4].

Izingibe ezivamile nokulungiswa okusheshayo 🧯

  • Isobho elisheshayo - inqwaba yemiyalo ephuma kanye esabalele ezingxoxweni.
    Lungisa: umtapo wolwazi omncane, onenguqulo ku-wiki yakho.

  • I-Shadow AI - abantu basebenzisa ama-akhawunti womuntu siqu noma amathuluzi angahleliwe.
    Lungisa: shicilela uhlu lwamathuluzi olugunyaziwe olucacile okufanele ukwenze/okungamelwe ukwenze kanye nendlela yokucela.

  • Ukwethemba ngokweqile uhlaka lokuqala - ukuzethemba ≠ kulungile.
    Lungisa: ukuqinisekiswa + uhlu lokuhlola lokucaphuna.

  • Asikho isikhathi esilondoloziwe esiphinde sasetshenziswa - amakhalenda awaqambi amanga.
    Lungisa: isikhathi sokuvimba somsebenzi wenani eliphezulu othe uzowenza.

  • Ukusakazeka kwamathuluzi - imikhiqizo emihlanu eyenza into efanayo.
    Lungisa: ukukhishwa kwekota. Yiba nonya.

Ama-dive amathathu ajulile ongawaswayipha namuhla 🔬

1) Injini yokuqukethwe yemizuzu engama-30 🧰

  • 5 min - namathisela kafushane, khiqiza uhlaka, khetha okuhle kakhulu kokubili.

  • Imizuzu engu-10 - bhala izigaba ezimbili ezibalulekile; cela ukuphikisa; hlanganisa.

  • Imizuzu eyi-10 - cela ubungozi bokuthobela kanye nezingcaphuno ezingekho; lungisa.

  • 5 amaminithi - isifinyezo sendima eyodwa + amazwibela amathathu omphakathi.
    Ubufakazi buthi usizo oluhlelekile lungasheshisa ukubhala kochwepheshe ngaphandle kokulahla ikhwalithi [1].

2) Iluphu yokucaca komhlangano 🔄

  • Ngaphambili: lola i-ajenda nemibuzo.

  • Ngesikhathi: qopha futhi umake izinqumo ezibalulekile.

  • Ngemva: I-AI ikhiqiza izinto zesenzo, abanikazi, izingozi-okuthunyelwe okuzenzakalelayo kusilandeleli sakho.
    Ucwaningo ezindaweni zesevisi luxhumanisa le nhlanganisela kumphumela ophezulu kanye nomuzwa ongcono lapho ama-ejenti esebenzisa i-AI ngokuzibophezela [3].

3) Ikhithi yokugudluza kanjiniyela 🧑💻

  • Khiqiza izivivinyo kuqala, bese ubhala ikhodi ezidlulayo.

  • Cela ezinye izindlela ezi-3 zokusebenzisa ngokuhwebelana.

  • Ivumele ichaze ikhodi futhi sengathi umusha kusitaki.

  • Lindela izikhathi zomjikelezo ezisheshayo emisebenzini ekhonjiwe-kodwa gcina ukubuyekezwa kuqinile [4].

Ungakukhipha kanjani lokhu njengeqembu 🗺️

  1. Khetha ukugeleza komsebenzi okubili okunemiphumela elinganisekayo (isb., ukucutshungulwa kokusekela + ukuhlelwa kombiko wamasonto onke).

  2. Isifanekiso kuqala - imiyalo yokuklama nendawo yokubeka ngaphambi kokuthi ubandakanye wonke umuntu.

  3. Umshayeli wendiza enompetha - iqembu elincane elithanda ukuncenceza.

  4. Linganisa imijikelezo emibili - isikhathi somjikelezo, ikhwalithi, amanani amaphutha.

  5. Shicilela incwadi yokudlala - iziyalezo eziqondile, izingibe, nezibonelo.

  6. Isikali futhi sicocekile - hlanganisa amathuluzi agqagqene, misa imigqa yokuqapha, gcina i-pager eyodwa yemithetho.

  7. Buyekeza njalo ngekota - yeka lokho okungasetshenzisiwe, gcina lokho okuqinisekisiwe.

Gcina i-vibe isebenza. Ungathembisi iziqhumane-uthembisa amakhanda ambalwa.

I-FAQ-ish curiosities 🤔

  • Ngabe i-AI izowuthatha umsebenzi wami?
    Ezimweni eziningi zolwazi, izinzuzo ziphakeme kakhulu lapho i-AI ikhulisa abantu futhi ikhuphula abantu abangenalwazi oluncane-lapho ukukhiqiza nokuziphatha kungathuthuka [3].

  • Ingabe kulungile ukunamathisela ulwazi olubucayi ku-AI?
    Kuphela uma inhlangano yakho isebenzisa izilawuli zebhizinisi futhi ulandela izimiso ze-UK GDPR. Uma ungabaza, musa ukunamathisela-fingqa noma imaski kuqala [5].

  • Yini okufanele ngiyenze ngesikhathi engisilondolozayo?
    Faka kabusha imali ezingxoxweni zenani eliphezulu lomsebenzi nekhasimende, ukuhlaziya okujulile, ukuhlola kwamasu. Kungaleyo ndlela izinzuzo zokukhiqiza ziba umphumela, hhayi nje amadeshibhodi amahle.

I-TL;DR

“Indlela yokusebenzisa i-AI ukuze ikhiqize kakhudlwana” akuyona inkolelo-mbono—isethi yamasistimu amancane, aphindaphindekayo. Sebenzisa izikafula ekubhaleni nasekubhaleni, abasizi bemihlangano, bhanqa abahleli bezinhlelo ukuze uthole ikhodi, kanye ne-automation elula yomsebenzi weglue. Landelela izinzuzo, gcina imigqa yokuqapha, phinda usebenzise isikhathi. Uzokhubeka kancane-sonke siyakwenza-kodwa uma izihibe zichofoza, kuzwakala njengokuthola umzila osheshayo ofihliwe. Futhi yebo, ngezinye izikhathi izingathekiso ziba yinqaba.

Izithenjwa

  1. U-Noy, S., & Zhang, W. (2023). Ubufakazi bokuhlola emiphumeleni yokukhiqiza yomsebenzi wolwazi osizwa yi-AI. Isayensi

  2. I-NIST (2023). I-Artificial Intelligence Risk Management Framework (AI RMF 1.0). I-NIST Publication

  3. Brynjolfsson, E., Li, D., & Raymond, L. (2023). I-Generative AI emsebenzini. Iphepha Lokusebenza le-NBER w31161

  4. Peng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023). Umthelela we-AI Ekukhiqizweni Konjiniyela: Ubufakazi obuvela ku-GitHub Copilot. arXiv

  5. Ihhovisi likaKhomishana Wolwazi (ICO). Umhlahlandlela wezimiso zokuvikela idatha (UK GDPR). Isiqondiso se-ICO

Thola i-AI yakamuva esitolo esisemthethweni somsizi we-AI

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