Ingabe yonke indawo – kepha ingabe zihlala ziyindlela efanelekile? Emhlabeni wanamuhla we-AI, kubonakala sengathi wonke umuntu ufuna ukusebenzisa amamodeli weSisekelo nama-ejenti.
Ukusuka ku-GPT to Clip to Sam, izinkampani ziyagijimisa ukwakha izinhlelo zokusebenza ezizungeze amamodeli amakhulu, anenhloso ejwayelekile. Futhi ngesizathu esihle: Lezi zinhlobo zinamandla, zivumelana nezimo, futhi zivame ukuba lula ukuPhukuza nge. Kepha ingabe udinga ngempela eyodwa?
Ezimweni eziningi – ikakhulukazi ezimweni zokukhiqiza – imodeli elula, eqeqesheke ngokwezifiso ingenza kahle nje, uma kungenjalo kangcono. Ngezindleko eziphansi, i-latency ephansi, nokulawula okwengeziwe.
Lo mbhalo uhlose ukukusiza uzulazule lesi sinqumo ngokumboza:
- Yiziphi amamodeli wesisekelo, nezinzuzo zawo kanye ne-Cons
- Yimaphi amamodeli wangokwezifiso, nezinzuzo zawo kanye ne-Cons
- Ungayikhetha Kanjani Indlela Efanele Ngokususelwa Ezidingweni Zakho, Nezibonelo Zangempela Zomhlaba
- Uhlaka lwesinqumo esibonakalayo sokusonga konke
Ake singene kukho.
Amamodeli weSisekelo
Imodeli yesisekelo yimodeli enkulu, enesici sokuziqeqesha eqeqeshiwe kuma-dataset amakhulu kuwo wonke ama-Domain. Lawa mamodeli aklanyelwe ukuguquguquka ngokwanele ukuxazulula imisebenzi ehlukahlukene ye-DownStream ngokuqeqeshwa okuncane noma okungeziwe. Zingabonakala njengamamodeli ajwayelekile.
Baza ngezinhlobo ezahlukahlukene:
- I-LLMS (amamodeli amakhulu olimi) Njenge-GPT-4, Claude, Gendini, LLama, Mistral … Sizwa okuningi ngabo kusukela kwethulwa i-Chatgpt.
- Ama-VLMs (amamodeli olimi lombono) Okufana nesiqeshana, Flamingo, Vision Gemini Vision … Manje sebevame ukusetshenziswa kakhulu, ngisho nasezixazululweni ezifana neChatgpt.
- Amamodeli akhethekile umbono NjengoSam, Dino, ukuguquguquka okuzinzile, i-flux. Zikhethekile ngokwengeziwe futhi zisetshenziswa kakhulu ngudokotela, nokho zinamandla amakhulu.
- Amamodeli akhethekile wevidiyo NjengoRunwayML, sora, veo … le nkambu iye yathuthuka kahle eminyakeni embalwa edlule, futhi manje seyifinyelela imiphumela ehlaba umxhwele.
Iningi litholakala nge-API noma imitapo yolwazi evulekile, futhi eziningi zisekela ukudutshulwa noma ukudutshulwa okumbalwa.
Lawa mamodeli ajwayele ukuqeqeshwa esikalini esingafinyeleleki ezinkampanini eziningi, zombili mayelana nemininingwane namandla wekhompyutha. Lokho kubenza bakhange ngokweqiniso ngenxa yezizathu eziningi:
- Inhloso evamile kanye ne-Versatile: Imodeli eyodwa ingabhekana nemisebenzi eminingi ehlukene.
- Ngokushesha ku-prototype nge: Akunasidingo sedatha yakho noma ipayipi lokuqeqesha.
- Kuhlelwe inqwaba, idatha ehlukahlukene: Bafaka ulwazi lomhlaba kanye nokucabanga okujwayelekile.
- Amandla okudutshulwa ambalwa / ambalwa: Basebenza kahle ngaphandle kwebhokisi.
- Multimodal futhi nezimo: Ngezinye izikhathi zingaphatha umbhalo, izithombe, ikhodi, umsindo, nokuningi, okungaba nzima ukukhiqiza amaqembu amancane.
Ngenkathi benamandla, beza nezingqinamba ezithile nokulinganiselwa:
- Izindleko eziphezulu zokusebenza: Ukuthambekela kuyabiza, ikakhulukazi esikalini.
- Ukuziphatha kwe-Opaque: Imiphumela ingaba nzima ukuyilungisa noma ichaze.
- Ukulinganiselwa kwe-Latency: Lezi zimodeli zivame ukuba zinkulu kakhulu futhi zine-latency ephezulu, engahle ingabi kahle ngezicelo zesikhathi sangempela.
- Ubumfihlo kanye nokuhambisana nokukhathazeka: Imininingwane ivame ukudingiswa kuma-apis avela eceleni.
- Ukuntuleka kokulawula: Kunzima ukukwenza kahle noma ukwenza kahle amacala athile okusetshenziswa, kwesinye isikhathi akunakhetho.
Ukucinga, amamodeli wesisekelo anamandla amakhulu: aqeqeshelwe ama-dataset amakhulu, angakwazi ukuphatha umbhalo, isithombe, ividiyo nokuningi. Akudingeki ukuthi baqeqeshelwe idatha yakho ukuze basebenze. Kepha ngokuvamile azikhokhisi zisebenza, zingaba ne-latency ephezulu futhi zingadinga ukuthumela idatha yakho kubantu besithathu.
Enye indlela yokusebenzisa amamodeli wangokwezifiso. Manje ake sibheke ukuthi kusho ukuthini lokho.
Amamodeli wangokwezifiso
Imodeli yangokwezifiso yimodeli eyakhelwe futhi eqeqeshelwe ngokukhethekile umsebenzi ochaziwe usebenzisa idatha yakho. Lokhu kungaba lula njengokubuyiselwa imali okunengqondo noma njengenkimbinkimbi njengokwakhiwa okujulile kokufunda okwenzelwe inkinga yakho eyingqayizivele.
Ngokuvamile badinga umsebenzi ongeziwe ophambili kepha banikeze ukulawula okukhulu, izindleko eziphansi, kanye nokusebenza okungcono emisebenzini emincane. Amamodeli amaningi anamandla futhi eshayela amabhizinisi empeleni amamodeli ngokwezifiso, amanye adumile futhi asetshenziswa kabanzi, ezinye zikhuluma ngezinkinga ezithile ze-niche:
- Injini yokuncoma yeNetflix, esetshenziswa yizigidi, iyimodeli yangokwezifiso
- Amamodeli we-Churn Prediction amamodeli, asetshenziswe kabanzi ezinkampanini eziningi ezibhalwe okubhaliselwe, amamodeli wangokwezifiso (kwesinye isikhathi nje kuphela okuhleliwe okuhleliwe)
- Amamodeli wokushaya amagoli
Lapho usebenzisa amamodeli wangokwezifiso, nina nxazonke zesinyathelo esisodwa, ukuzenza zibe namandla ngempela ngezizathu eziningana:
- I-Task-Special and Olungiselelwe: Ulawula imodeli, idatha yokuqeqesha, kanye nokuhlola.
- I-latency ephansi nezindleko: Amamodeli wangokwezifiso avame ukuba yincane futhi abizi kakhulu. Kubalulekile emaphethelweni noma ezindaweni zangempela.
- Ukulawulwa okugcwele nokuchazwa: Kulula ukulungisa ukulungisa iphutha, nokuqapha, nokuqapha.
- Kungcono ukuthola idatha ye-tabular noma ehlelekile: Amamodeli weSisekelo agqamile ngedatha engahleliwe. Amamodeli ngokwezifiso ajwayele ukwenza kangcono idatha ye-tabular.
- Idatha ethuthukisiwe ye-Privacy: Akunasidingo sokuthumela idatha kuma-apis angaphandle.
Ngakolunye uhlangothi, kufanele uqeqeshe futhi usebenzise amamodeli akho ngokwezifiso ngokwakho ukuthola inani lebhizinisi ngaphandle kwalo. Kuza nezinye izithiyo:
- Idatha enelebuli ingadingeka: Okungabiza kakhulu noma kudle isikhathi ukuze uthole.
- Kancane ukuthuthukisa: Umkhuba Amamodeli adinga ukuqeqesha imodeli, asebenzise amapayipi, athumele futhi alondoloze. Lokhu kudla isikhathi.
- Izinsiza ezinamakhono ezidingekayo: Isazi se-In-House ML kumele.
Zizwe ukhululekile ukumba ngamasu wokuhambisa nokuthi ungayikhetha kanjani indlela engcono kakhulu kuleso sihloko:
Ngegama elilodwa, amamodeli wangokwezifiso anikeza ukulawula okwengeziwe futhi imvamisa kubiza kakhulu ukukala. Kepha kuza ngezindleko zesigaba sokuthuthukisa esibizayo neside kakhulu – ukungasasho amakhono. Manje-ke ungazikhetha kanjani ngokuhlakanipha ukuthi usebenzisa imodeli yangokwezifiso noma imodeli yesisekelo? Ake sizame ukuphendula lowo mbuzo.
Imodeli yesisekelo noma imodeli yangokwezifiso: Ungayikhetha kanjani?
Ukukhetha nini imodeli yangokwezifiso
Ngingasho ukuthi imodeli yangokwezifiso kumele ibe yikhetho lokuzenzakalelayo liyonke. Kepha ukuba nobulungiswa, ake sibone kuliphi amacala athile okusobala ukuthi kuyisisombululo esingcono kunemodeli yesisekelo. Kuza izidingo ezimbalwa:
- Amaqembu nezinsizakusebenza: Unonjiniyela wokufunda umshini noma ithimba ledatha, ungafaka ilebula noma ukhiqize idatha yokuqeqesha, futhi uyakwazi ukuchitha isikhathi sokuqeqeshwa kanye nokwenza kahle imodeli yakho
- Ushishino: Noma ngabe unecala elithile elikhethekile lokuxazulula, unezidingo zobumfihlo, udinga izindleko eziphansi ze-infra, noma udinga ukuthunyelwa okuphansi noma okunqenqemeni
- Imigomo yesikhathi eside: Ufuna ukulawula, futhi awufuni ukuncika kuma-apis avela eceleni
Uma uzithola usesimweni esisodwa noma eziningi zalezi zimo, imodeli yangokwezifiso ingaba inketho yakho enhle kakhulu. Ezinye izibonelo ezijwayelekile engibhekana nazo emcimbini wami, ngokwesibonelo:
- Ukwakha imodeli yendlu yangaphakathi, ngokwezifiso ye-YouTube Video Revenue: awukwazi ukuyekethisa ngobumfihlo, futhi akukho modeli yesisekelo ezokwenza kahle ngokwanele kumacala athile okusetshenziswa
- Ukusebenzisa isixazululo sevidiyo yesikhathi sangempela ku-Smartphone: Uma udinga ukusebenza ngezindebe ezingaphezu kwama-30 ngomzuzwana, akukho vlm engakwazi ukubhekana nomsebenzi okwamanje
- Ukushaya isikweletu ebhange: Awukwazi ukuyekethisa ngobumfihlo, futhi awukwazi ukusebenzisa izixazululo zeqembu lesithathu
Uma ufuna ukumba kuyo, nansi i-athikili esenza ukuthi ungabikezela kanjani imali yevidiyo ye-YouTube:
I-Jellysmack inakekelwa amavidiyo we-YouTube anemali kanjani ngama-algorithms aqagelayo
Umbono oguqukayo emnothweni woMdali
Lokho okushiwoyo, ngenkathi kwezinye izikhathi amamodeli wesisekelo akusona isixazululo, ake sibone ukuthi empeleni kuyindlela ephumelelayo.
Ukukhetha nini imodeli yesisekelo
Masenze umsebenzi ofanayo wezinsizakalo zesisekelo: ake siqale sihlole izidingo ezenza zibe inketho enhle, futhi ake sibheke amanye amacala ebhizinisi ajwayelekile lapho azochuma khona:
- Iqembu nezinsizakusebenza: Akudingeki ukuthi ufake amalebula imininingwane, noma onjiniyela be-ML noma ososayensi wedatha, kepha une-AI noma onjiniyela besoftware
- Ibhizinisi: Ufuna ukuvivinya umbono ngokushesha noma uthumele i-MVP, ulungile ngokusebenzisa ama-API angaphandle, kanye ne-latency noma izindleko zokulinganisa akuzona ukukhathazeka okukhulu
- Izici zomsebenzi: Umsebenzi wakho uphelelwe yisikhathi, noma uhlola inoveli noma isikhala senkinga yokudala
Nazi ezinye izibonelo ezijwayelekile lapho amamodeli wesisekelo afakazele ukuthi yigugu
- Prototyping i-chatbot yokusekelwa kwangaphakathi noma ukuphathwa kolwazi: unomsebenzi ophelelisiwe, onezidingo eziphansi nge-latency kanye nesilinganiso
- Ama-MVP amaningi wesigaba sokuqala ngaphandle kokukhathazeka kwe-infra yesikhathi eside kunguzona okuhle
Njengamanje, amamodeli weSisekelo athandwa kakhulu ama-MVP amaningi aqala ukuzungeza umbhalo nesithombe, ngenkathi amamodeli ngokwezifiso efakazele ukubaluleka kwawo emacaleni amaningi ebhizinisi. Kepha kungani ungahlanganisi zombili? Kwezinye izimo, kungenzeka ukuthola izixazululo ezinhle kakhulu ngezindlela ezi-hybrid. Ake sibheke ukuthi kusho ukuthini lokho.
Ungasebenzisa Nini Izixazululo ze-Hybrid
Ekuhambeni okuningi komsebenzi wangempela, impendulo enhle kakhulu yi inhlanganisela kuzo zombili izindlela. Isibonelo, nazi izindlela ezimbalwa ezijwayelekile ezi-hybrid ezingenza inzuzo engcono kakhulu yomhlaba womabili
- Imodeli yeSisekelo njengethuluzi lokulebula: Sebenzisa i-SAM noma i-GPT ukudala idatha enelebula, bese uqeqesha imodeli encane.
- Ukudilizwa kolwazi: Qeqesha imodeli yangokwezifiso ukulingisa ukuphuma kwemodeli yesisekelo.
- I-BootSpring: Qala ngemodeli yesisekelo ukuhlola, bese ushintshela kwisiko ngokuhamba kwesikhathi.
- Ukukhishwa kwesici: Sebenzisa iziqeshana noma ukushumeka kwe-GPT njengokufaka kumodeli elula ye-DownTream.
Ngisebenzise ezinye zalezi zindlela zamaphrojekthi wangesikhathi esedlule phakathi nomsebenzi wami, futhi kwesinye isikhathi zivumela ukuthola izixazululo zombuso, zisebenzisa amandla ajwayelekile amamodeli weSisekelo kanye nokuguquguquka kanye nokukhubazeka kwamamodeli wangokwezifiso.
- Kumaphrojekthi we-Computer Vision, ngasebenzisa ukuguquguquka okuzinzile ukudala imininingwane ehlukahlukene futhi enengqondo, kanye noSam ukufaka imininingwane ngokushesha nangendlela efanele
- Amamodeli Olimi LwamaLintshi Athola Ukuqothula, futhi kwesinye isikhathi athola ithuba lokudilizwa kolwazi ukuthola okungcono kakhulu kwe-LLMS ngenkathi kusele okuncane, okukhethekile ngokwengeziwe
- Umuntu angasebenzisa futhi amathuluzi afana ne-chatgt ukuze akwazisa kalula idatha esikalini ngaphambi kokuqeqeshwa amamodeli wangokwezifiso
Nasi isibonelo esikhonkolo sokusebenzisa amamodeli wesisekelo ezixazululweni ze-hybrid zombono wekhompyutha:
Ezwini, ezimweni eziningi lapho ubhekene nedatha engahleliwe, indlela eyi-hybrid ingaba namandla futhi inikeze okungcono kakhulu emhlabeni womabili.
Isiphetho: Uhlaka lwezinqumo
Masifingqa ngeshadi lezinqumo lapho kufanele luhambele imodeli yesisekelo, kufanele ngithole nini imodeli yangokwezifiso, nokuthi ungahlola nini indlela ye-hybrid.
Ngamazwi ambalwa, konke kwehlela kuphrojekthi kanye nesidingo. Impela, amamodeli wesisekelo aqhakaza njengamanje, futhi asenhlizweni yama-ejenti wamanje. Noma kunjalo, izinkinga eziningi zebhizinisi ezibaluleke kakhulu zingabhekiswa ngamamodeli wangokwezifiso, kanti kufakazelwa amamodeli wesisekelo anamandla ezinkingeni eziningi zedatha ezingahlelwanga. Ukukhetha ngokuhlakanipha, ukuhlaziya okufanele kwezidingo nezidingo nababambiqhaza nonjiniyela, kanye nohlaka lwesinqumo luhlala luyisisombululo esihle.
Kuthiwani ngawe: Wake wabhekana nanoma yisiphi isimo lapho isixazululo esihle kunazo zonke akuyona into ongayicabanga?
Ukunqubekela phambili
- I-LLMS eshiwo: I-GPT ngu-Opena, i-Claude yi-Anthropic, LLama ngeMeta, Gemini ngu-Google, futhi singakwazi ukuveza okuningi okufana nokungemthetho, okujulile, njll.
- Amamodeli ahlobene nombono: Sam nge-meta, isiqeshana ngu-Opena, Dino nguMeta, anikwenziswa yi-stabiliai, i-flux by black lash labs
- Amamodeli akhethekile wevidiyo: Veo nguGoogle, Runwayml, SORA ngu-Opena …
