I-OpenAI yenze intuthuko enkulu ku-API yayo yokulungisa kahle futhi yandisa uhlelo lwayo lwemodeli yangokwezifiso, inikeze abathuthukisi ukulawula okungakaze kubonwe kumamodeli e-AI okuqeqeshwa. Lezi zibuyekezo ziklanyelwe ukwenza lula ukudalwa kwamamodeli e-AI akhethekile, athuthukise kakhulu ukusebenza kwawo kwemisebenzi ethile kanye namacala okusetshenziswa. Ngokuhlinzeka onjiniyela ngamathuluzi nokusekelwa ukuze benze amamodeli afanele izidingo zabo ezithile, i-OpenAI ingenisa inkathi entsha yokwenza kube ngokwakho i-AI.
Ukuqinisa amandla okushuna kahle
I-API yokushuna kahle ye-OpenAI isishintshe kakhulu, manje isikhiqiza imiphumela yekhwalithi ephezulu futhi isekela izibonelo eziningi zokuqeqesha. Lokhu kuvumela imodeli ukuthi icwengwe ngokunembe kakhudlwana futhi kutholwe imiphumela engaqondile nje kuphela, kodwa futhi ehambisana kakhulu nomsebenzi owenziwayo. I-API inikeza ukonga kwamathokheni okuhlaba umxhwele kanye nokubambezeleka okuncishisiwe, iqinisekisa ukuthi inqubo yokucwengisiswa iyonga futhi isebenza kahle.
Okunye okuthakasela kakhulu okungeziwe ku-Focus API wuhlelo olusha lokuhlola olususelwe enkathini. Lesi sici sivumela onjiniyela ukuthi balondoloze imodeli yezifunda ezigabeni ezihlukene zenqubo yokuqeqeshwa, okubalulekile ekulandeleleni inqubekelaphambili nokuhlonza izindawo zokuma ezifanele kumaphrojekthi esikhathi eside. I-Comparative Playground ingelinye ithuluzi elibalulekile, elihlinzeka ngendawo yokuhlola amamodeli eceleni kanye nokwenza izinqumo ezinolwazi mayelana nokuthi iyiphi esebenza kahle kakhulu emsebenzini othile.
Ukuhlanganiswa kwe-API nezinsizakalo zezinkampani zangaphandle nakho kwenziwe lula, okwenza kube lula kunangaphambili ukuhlanganisa amamodeli acushwe kahle ekugelezeni komsebenzi okukhona. Amamethrikhi aphelele okuqinisekisa ahlinzeka ngemininingwane ejulile ekusebenzeni kwemodeli, okuvumela onjiniyela ukuthi bakhombe izindawo okufanele bathuthukiswe futhi balungiselele amamodeli abo ngokufanele. Ukucushwa kwe-Hyperparameter kwenziwe kwaba lula, kunikeze ukulawula okungcono kakhulu kwenqubo yokuqeqesha futhi kuvumela abathuthukisi ukuthi bathole imiphumela engcono kakhulu. Okokugcina, ulwazi lomsebenzisi luthuthukisiwe ngedeshibhodi yokususa iphutha, okwenza kube lula ukuphatha nokulandelela inqubo yokususa iphutha kusukela ekuqaleni kuya ekupheleni.
Izibuyekezo ze-ChatGPT Fine-Tuning API
Uhlelo lwe-OpenAI Custom Models nalo seluthuthuke kakhulu, manje luhlinzeka ngezinsizakalo ezisizwayo zokuthuthukisa lapho amaqembu ezobuchwepheshe e-OpenAI esebenzisana nonjiniyela ukuze asebenzise amasu athuthukile nokwandisa amapharamitha. Le ndlela yokuhlanganyela ibaluleke kakhulu ezinhlanganweni ezinamasethi amakhulu edatha yokuphathelene, okuvumela ukudalwa kwamamodeli aqeqeshwe ngokwezifiso aklanyelwe imisebenzi ethile kanye namacala okusetshenziswa.
- Ukudalwa kwezindawo zokuhlola ezisuselwe ku-epoch: Ikhiqiza ngokuzenzakalela indawo yokuhlola ephelele nenembile yemodeli phakathi nesikhathi ngasinye sokuqeqeshwa, kunciphisa isidingo sokuqeqeshwa kabusha okulandelayo, ikakhulukazi ezimeni zokugcwalisa ngokweqile .
- Inkundla yokudlala yokuqhathanisa: Ukusebenzelana komsebenzisi okusha kwehlangothi necele lokuqhathanisa ikhwalithi yemodeli nokusebenza, okuvumela ukuhlolwa komuntu kwemiphumela evela kumamodeli amaningi noma ukugxilisa izifinyezo ngokumelene nokwaziswa okukodwa.
- Ukuhlanganiswa kwezinkampani zangaphandle: Ukusekelwa kokuhlanganiswa nezinkundla zezinkampani zangaphandle (eziqala nge-Weights and Biases kuleli sonto) ukuze kuvunyelwe abathuthukisi ukuthi babelane ngedatha yokushuna enemininingwane nesitaki sabo sonke.
- Amamethrikhi okuqinisekisa aphelele: Amandla okubala amamethrikhi afana nokulahlekelwa nokunemba kuyo yonke idathasethi yokuqinisekisa esikhundleni senqwaba yesampula, enikeza ukuqonda okungcono ngekhwalithi yemodeli.
- Ukucushwa kwe-hyperparameter: Ikhono lokumisa ama-hyperparameter atholakala kudeshibhodi (futhi akusekho kuphela nge-API noma i-SDK).
- Ukuthuthukiswa kwedeshibhodi: okuhlanganisa ikhono lokumisa amapharamitha, ukubuka amamethrikhi okuqeqesha anemininingwane eminingi, futhi uqalise kabusha imisebenzi kusukela ekucushweni kwangaphambilini.
Lolu hlelo luhlanganisa amasu asezingeni eliphezulu amaphakathi nangemuva kokuqeqeshwa, athembisa ukuthuthukisa kakhulu amakhono okufunda nokuvumelana nezimo kwemodeli. Ngokusebenzisa lezi zindlela, amabhizinisi angathola inzuzo yokuncintisana nge-AI, athuthukise amamodeli ahambisana nezidingo zawo futhi akwazi ukuletha ukusebenza okungenakuqhathaniswa.
Izindaba Zempumelelo Yomhlaba Wangempela
Umthelela wezibuyekezo ze-OpenAI usuvele uzwakala emhlabeni wangempela, nezinkampani ezifana ne-Impela kanye ne-SK Telecom ezibika ukusebenza okubalulekile kanye nezinzuzo ezisebenza kahle ngokulungiswa kahle. Ngempela, inkundla yokusesha umsebenzi ehamba phambili, isebenzise i-API yokulungisa kahle ukudala ukuhlukaniswa kwemisebenzi okukhethekile namamodeli ezincomo, isiza abafuna umsebenzi ukuthi bathole okunikezwayo okunembayo nokufaneleka kakhulu. I-SK Telecom, inkampani enkulu yezokuxhumana eSouth Korea, yasebenzisa uhlelo lweCustom Models ukuthuthukisa ama-chatbots esevisi yamakhasimende anamandla e-AI akwazi ukuphatha imibuzo eminingi futhi anikeze ukwesekwa komuntu siqu kumakhasimende.
Esinye isibonelo esiphawulekayo uHarvey, ithuluzi le-AI elakhelwe ngokukhethekile abameli. Esebenzisa imodeli ye-OpenAI eqeqeshwe ngokwezifiso, u-Harvey ukwazile ukuzuza amazinga angakaze abonwe okunemba nokusebenziseka, enze ucwaningo lwezomthetho lube lula kanye nezinqubo zokubuyekezwa kwamadokhumenti. Lezi zindaba zempumelelo zibonisa amandla okuguqulwa kokuhlela ngokwezifiso kwe-OpenAI nokunikezwa kwamamodeli, kugqamisa izindlela i-AI engalungiswa ngayo ukuze ihlangabezane nezidingo ezihlukile zezimboni ezahlukene kanye namacala okusebenzisa.
Ukubumba ikusasa le-AI
Umbono we-OpenAI wekusasa le-AI ungomunye lapho ukwakhiwa kwamamodeli wangokwezifiso kuba umkhuba ojwayelekile. Kubandakanya inqubo enezinyathelo eziningi eqala ngencazelo ecacile yamacala okusetshenziswa futhi iphethe ngokuthuthuka okuqhubekayo kanye nokwenza kahle. Ngokuhlinzeka izinhlangano ngamathuluzi nokusekelwa ukuze zicwengisise amamodeli ngokusekelwe ezidingweni zazo ezithile, i-OpenAI isiza ukuqinisekisa ukuthi amakhono e-AI ayavela ngokuhambisana nezidingo zenhlangano.
Njengoba amabhizinisi amaningi amukela amandla e-AI, amandla okudala amamodeli akhethekile azobaluleke kakhulu. I-API yokushuna kahle ye-OpenAI nohlelo lwemodeli yangokwezifiso ihamba phambili kulo mkhuba, ihlinzeka abathuthukisi ngezinsiza kanye nobuchule bokudala izixazululo ze-AI ngendlela ehlukile njengezinselele okufanele bazixazulule.
Emhlabeni lapho i-AI iya ngokuya itholakala yonke indawo, amandla okwenza kube ngokwakho kanye nokujwayela amamodeli ezimweni ezithile zokusetshenziswa kuwumahluko oyinhloko. Ngokunika amandla onjiniyela ukuthi bakhe amamodeli afanelana nezidingo zabo ezihlukile, i-OpenAI isiza ukuvula amandla aphelele e-AI futhi iqhubekisele phambili ukuqanjwa kabusha ezimbonini eziningi. Njengoba ubuchwepheshe buqhubeka nokuvela, kuyacaca ukuthi ikusasa le-AI lilele ekwenzeni kube ngokwakho nokusebenzisana, futhi i-OpenAI ihamba phambili.
Funda kabanzi Umhlahlandlela:
- Uyenza kanjani ngokuzenzakalelayo i-ChatGPT 3.5 Turbo tuning
- I-OpenAI GPT Store ivula iminyango yayo kubasebenzisi be-Plus kanye ne-Enterprise
- Izinguqulo zangokwezifiso ezintsha ze-OpenAI kanye ne-ChatGPT ezethula kuleli sonto
- I-OpenAI Imemezela Izinguquko Zentengo Ye-ChatGPT, Amamodeli Wokuhlanganisa, nezibuyekezo ze-API
- I-OpenAI DevDay 2023 Keynote yokuqala iyonke
- Ukudala izenzo zangokwezifiso ze-GPT kusetshenziswa ukhiye we-OpenAI API
