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Ukubuyisela emuva Isiqalekiso kuma-LLM

Isiqalekiso esihlehlayo siyimodi yokwehluleka okumangazayo lapho imodeli yolimi efunda 'A ngu-B' ingakwazi ukuphendula ngokuthembekile ukuthi 'B ngu-A.' Iveza ukuthi ama-LLM agcina amaqiniso njengokuhlotshaniswa kokuqondisa okukodwa, hhayi njengolwazi lwe-symmetric.

2 amaminithi ukufundaIgcine ukubuyekezwa

I-Deep Dive

Kubhalwe ephepheni lika-2023 ngu-Berglund kanye nozakwabo, isiqalekiso esihlehliswayo sibonisa ukuthi uma imodeli iqeqeshelwa 'umama kaTom Cruise nguMary Lee Pfeiffer,' ivame ukuhluleka lapho ibuzwa ukuthi 'Ubani indodana ka-Mary Lee Pfeiffer?' nakuba impendulo ifana ngokunengqondo. Umthelela uyaqhubeka kubo bonke osayizi bamamodeli ngisho nangemva kokucushwa kahle kumakhulu amaqiniso anjalo. Akuyona igebe lenkumbulo: imodeli ibone ulwazi, kodwa ngohlelo olulodwa kuphela. Ngenxa yokuthi ukuqeqeshwa kuthuthukisa ukubikezela kwethokheni elandelayo phezu kokuhleleka kwamagama okuyiwonawona kudatha, isixhumanisi sezibalo sisuka ku-A siye ku-B asidali ngokuzenzakalelayo isixhumanisi ukusuka ku-B sibuyele ku-A. Ukuqagela okuyinselele okutholiwe ukuthi isikali sisodwa sikhiqiza ukucabanga okuguquguqukayo, okufana nomuntu phezu kwamaqiniso.

I-Technical Insight

Ama-Transformer afunda ngokubikezela ithokheni elandelayo enikezwe umongo wangaphambili, ngakho-ke izibuyekezo zegradient ziqinisa imephu eqondisayo ethi 'A bese kuthi B' kodwa zishiye okuthi 'B bese kuba A' zingathintwa ngaphandle kwalapho lolo myalelo uvela ekuqeqeshweni. Lezi zikhombisi-ndlela ezimbili zihlala ezindleleni zesisindo ezihlukene. Abacwaningi bakuqinisekisile lokhu ngokulinganisa amathuba elogi: ngemva kokufunda iqiniso eliya phambili, amathuba esitatimende esihlanekezelwe ahlala eduze kwesisekelo, okukhombisa ukuthi akukho ukuguqulwa okunengqondo okungacacile okwenzekile phakathi nokuqeqeshwa.

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 Lesiqalekiso Esihlehlayo kuma-LLM

Ukunciphisa okusacwaningwayo kuhlanganisa ukwengezwa kwedatha eqondiswa kabili (ukwengeza amagama ahlanekezelwe), izinjongo zokuqeqesha ezibikezela amathokheni kuzo zombili izinkomba, kanye nezinhlelo zokubuyisa ezibheka amaqiniso ngokulinganayo kunokuthembela esisindweni esibanjwe ngekhanda. Ezinye izakhiwo ezintsha nezivivinyo zokuhlehlisa-pretraining kunciphisa igebe. Lindela ukuthi isiqalekiso sinciphe kodwa singashabalali, njengoba sidalula ukungafani okujulile phakathi kokufunda kwethokheni elandelayo kanye nesakhiwo esilingene sobudlelwano bomhlaba wangempela.

Ukuqaliswa Komhlaba Wangempela

I-chatbot isho kahle ukuthi umzali kasaziwayo kodwa yehluleka uma icelwa ukuba isho igama lengane edumile yalowo mzali.

Imodeli isho ukuthi 'umongameli wesishiyagalolunye kwakunguWilliam Henry Harrison' nokho uyakhubeka ngokuthi 'ubani umongameli kwakunguWilliam Henry Harrison.'

Umsizi wokubhala ngekhodi ofunde ukwenza imephu yendlela yokusebenza-kuya-encazelweni akakwazi ukubuyisela igama lomsebenzi encazelweni yodwa.

Uhlelo lwezokwelapha lwe-QA oluqeqeshelwe 'kwi-Drug X treats Condition Y' luyehluleka ukubhala Umuthi X lapho ubuzwa ukuthi yini ephatha i-Condition Y.

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

ChatGPT ne-LLMs

Imibuzo evame ukubuzwa

What is Reversal Curse in LLMs?

Isiqalekiso esihlehlayo siyimodi yokwehluleka okumangazayo lapho imodeli yolimi efunda 'A ngu-B' ingakwazi ukuphendula ngokuthembekile ukuthi 'B ngu-A.' Iveza ukuthi ama-LLM agcina amaqiniso njengokuhlotshaniswa kokuqondisa okukodwa, hhayi njengolwazi lwe-symmetric.

Sichazani isiqalekiso esihlehlayo?

Isiqalekiso esibuyela emuva siwukuhluleka ukusho ukuthi 'B ngu-A' kusukela ekuqeqeshweni kokuthi 'A ngu-B,' naphezu kokuthi kokubili kuyalingana ngokunengqondo.

Kungani isiqalekiso esihlehlayo senzeka, ngokomshini?

Ngenxa yokuthi ukuqeqeshwa kuthuthukisa ukubikezela kwethokheni elandelayo ngohlelo olubonwa ncamashi, ukuhlehla kwemephu akuqinisekiswa ngaphandle kwalapho kuvela ekuqeqeshweni.

Ingabe ukwanda kosayizi wemodeli kusilungisa ngokuthembekile isiqalekiso esihlehlayo?

Ucwaningo lwangempela lwathola isiqalekiso esibanjwe kulo lonke uhla lwamamodeli, okubonisa ukuthi isikali sisodwa asikuxazululi.

Ikuphi ukuncishiswa okuqonde ngqo isiqalekiso esihlehlayo?

Ukwengezwa kwedatha yezinhlangothi ezimbili kuveza imodeli kukho kokubili okuthi 'A ngu-B' kanye no-'B ngu-A,' kudala ukuhlotshaniswa okuphambene okulahlekile.

Abacwaningi baqinisekise kanjani ukuthi imodeli ayizange ilifunde ngokuphelele iqiniso eliphambene?

Amathuba esitatimende esihlanekezelwe ahlala eduze kwesisekelo ngemuva kokuqeqeshwa okuya phambili, okukhombisa ukuthi akukho ukuguqulwa okunengqondo okwenzekile.