Ulimi lwe-AI GUIDE

Ukumodela Komvuzo

Imodeli yomvuzo iyinethiwekhi ye-neural eqeqeshelwe ukubikezela ukuthi inhle kangakanani impendulo ye-AI, esebenza njengokuma okuzenzakalelayo kokwahlulela komuntu.

2 amaminithi ukufundaIgcine ukubuyekezwa

Uhlolojikelele

It is the scoring engine that makes reinforcement learning from human feedback possible at scale.

I-Deep Dive

Ukumodela kwemiklomelo kuxazulula inkinga engokoqobo: abantu abakwazi ukukala yonke into ezigidini zemiphumela ekhiqizwa imodeli ngesikhathi sokuqeqeshwa. Esikhundleni salokho, abalebula baqhathanisa isethi encane yezimpendulo, ngokuvamile bakhetha ukuthi yiziphi izimpendulo ezimbili ekwazisweni okufanayo okungcono. Imodeli yomklomelo ibe isiqeqeshelwa kulokhu kuqhathaniswa ukuze kukhishwe isikolo sesikali esisodwa sanoma yikuphi ukubhanqwa kokuphendula ngokushesha. Umgomo ojwayelekile wokuqeqesha imodeli ye-Bradley-Terry, eshintsha okuncamelayo okubili kube nethuba lokuthi impendulo eyodwa idlule enye. Uma isiqeqeshiwe, le modeli yomvuzo ingahlola ngokushibhile okuphumayo okusha okungenamkhawulo, inikeze isignali yokuthi ama-algorithms afana ne-PPO asebenzise ukuthuthukisa imodeli yolimi. Amamodeli omklomelo aphinde asetshenziswe ngesikhathi sokubikezela ukuze uthole amasampula angcono kakhulu we-N, lapho amakhandidethi amaningi ekhiqizwa futhi elithola amaphuzu aphezulu libuyiswa.

I-Technical Insight

Imodeli yomvuzo ngokuvamile iyimodeli yolimi oluyisisekelo nekhanda layo lokubikezela ithokheni elithathelwa indawo isendlalelo esisodwa somugqa esikhipha isikala esisodwa. Ukuqeqeshwa kukhulisa amathuba elogi okuthi impendulo ekhethiwe ithole amaphuzu aphezulu kunenqatshiwe: ukulahlekelwa = -log(sigmoid(r_chosen - r_rejected)). Umehluko ohlobene kuphela obalulekile, ngakho-ke isikali esiphelele asisho lutho. Ikhwalithi incike ekuhambisaneni kwelebula kanye nokufakwa okubanzi kwezitayela zokuphendula.

I-Strategic Impact

Isivinini nesikali

Ukugeleza komsebenzi wolimi kungahamba ngokushesha ngaphandle kokudela ukuvumelana.

Finyelela futhi ufinyelele

Yandisa ukufinyelela kuzo zonke izilimi nezitayela zokuxhumana.

Izinqumo ezicacile

Amaqembu angachitha isikhathi esiningi ekwahluleleni kuyilapho i-automation isingatha impinda.

Ikusasa Lokumodela Imiklomelo

Ucwaningo lubhekana nobuthakathaka obukhulu kakhulu bemodeli yemiklomelo: 'angagqekezwa' (amamodeli asebenzisa izinto ezingezinhle njengokukhetha ubude), futhi aphuma ekusabalaleni njengoba inqubomgomo ithuthuka. Izikhombisi-ndlela ezithembisayo zifaka amamodeli womvuzo wenqubo afaka amaphuzu esinyathelweni ngasinye sokucabanga, ama-ensembles kanye nezilinganiso zokungaqiniseki zokumelana nokugetshengwa, amalebula okuthandwayo akhiqizwe yi-AI (i-RLAIF), kanye namamodeli womvuzo okhiqizayo akhiqiza ukugxeka nezizathu esikhundleni senombolo engenalutho.

Ukuqaliswa Komhlaba Wangempela

Inika amandla i-RLHF yabasizi abafana ne-ChatGPT kanye Claude ngokushaya izimpendulo zekhandidethi phakathi nokuqeqeshwa kwe-PPO

Isampula ye-Best-of-N, lapho imodeli ikhiqiza izimpendulo eziningi futhi imodeli yomvuzo ikhetha okungcono kakhulu kumsebenzisi

'Iziqinisekisi' zezibalo nekhodi noma amamodeli womvuzo wokucubungula athola izinyathelo zokucabanga ezimaphakathi ukuthuthukisa ukuxazulula izinkinga

Ukulinganisa nokuhlunga idatha yokuqeqeshwa kokwenziwa, kugcina kuphela izizukulwane ezithola amaphuzu aphezulu ukuze kuthuthukiswe ukulungiswa kahle

Izingozi & Guardrails

Amaqiniso akhonjiwe angafaka ngokuthula imibiko, ukugeleza kosekelo, noma imiphumela yocwaningo.

Ukuzwela okusheshayo kungadala imiphumela engahambisani kuzo zonke izicelo ezifanayo.

Idatha yombhalo ebucayi ingase idalulwe uma izilawuli zokufinyelela zibuthakathaka.

Ukuqalisa Umhlahlandlela

1

Chaza ifomethi yokuphumayo, ithoni, namazinga wekhwalithi ngaphambi kokukhishwa.

2

Izimpendulo eziyisisekelo ngemithombo ethembekile noma nini lapho ukunemba kubalulekile.

3

Gcina indawo yokuhlola isibuyekezo somuntu ukuze uthole imiphumela ephezulu.

4

Landela amaphethini okuhluleka futhi uqeqeshe kabusha imiyalo noma ukuhamba komsebenzi njalo.

Qhubeka Uhlole

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Umhlahlandlela olandelayo

Bradley-Terry Reward Modelling

Imibuzo evame ukubuzwa

What is Reward Modeling?

Imodeli yomvuzo iyinethiwekhi ye-neural eqeqeshelwe ukubikezela ukuthi inhle kangakanani impendulo ye-AI, esebenza njengokuma okuzenzakalelayo kokwahlulela komuntu. Yinjini yokufaka amaphuzu eyenza ukufunda okuqiniswayo okuvela empendulweni yomuntu kwenzeke esikalini.

Uyini umphumela oyinhloko wemodeli yomklomelo wepheya enikeziwe yempendulo esheshayo?

Imodeli yomvuzo yenza imephu yokwaziswa kanye nempendulo enombolweni yesikala esisodwa emelela ikhwalithi ebikezelwe noma okuthandwa umuntu.

Iluphi uhlobo lwedatha yomuntu evame ukusetshenziswa kakhulu ukuqeqesha amamodeli okuklomelisa?

Amalebula ngokuvamile aqhathanisa izimpendulo ezimbili ekwazisweni okufanayo futhi akhethe engcono; imodeli ye-Bradley-Terry iguqula lezi zibe umvuzo we-scalar.

Ingabe ukulahlekelwa kwemodeli yomvuzo okuvamile kuthuthukisa ini?

Ukulahlekelwa kwe-Bradley-Terry, -log(sigmoid(r_chosen - r_rejected)), ikhathalela kuphela uku-oda okuhlobene, ngakho-ke isikali esiphelele asisho lutho.

Kuyini 'ukukhwabanisa kwemivuzo'?

Ukugebenga komvuzo kwenzeka lapho imodeli ithola izinqamuleli (ezifana nobude obuningi noma ukuthopha) imodeli yomvuzo ongaphelele izikala kakhulu kodwa abantu abakwazanga.

Imodeli yomklomelo itholakala kanjani ngokwezakhiwo kumodeli yolimi?

Imodeli yomklomelo ivamise ukusebenzisa umgogodla we-LM kodwa ishintshanisa isendlalelo sokugcina kuleso esikhipha umvuzo owodwa wesikali.