Uhlolojikelele
I-XLNet ihlanganisa umongo wokuqondiswa kabili we-BERT nokubikezela okuzenzakalelayo kwe-GPT ngokuqeqesha phezu kokuhleleka kwamagama okungahleliwe. Leli qhinga lemvume liyivumela ukuthi ifunde kuzo zonke izikhundla ngaphandle kokufihla amathokheni.
I-XLNet Permutation Modeling iyingxenye yesitaki solimi-AI esisetshenziselwa ukufunda, ukukhiqiza, ukuhlukanisa, nokuguqula umbhalo nenkulumo ngesilinganiso.
I-Deep Dive
I-XLNet, yethulwe ngo-2019 nguCarnegie Mellon kanye ne-Google Brain, yakhelwe ukulungisa iphutha ekuqeqesheni kwangaphambili kwesitayela se-BERT. I-BERT imaski amathokheni futhi iyawabikezela, kodwa uphawu [MASK] lokwenziwa aluveli ngesikhathi sokushunwa kahle, okudala ukungafani kwesitimela/ukuhlola, futhi i-BERT ithatha ukuthi amathokheni ambozwe azimele. I-XLNet esikhundleni salokho isebenzisa 'i-permutation language modelling': ikhulisa amathuba okungena okulindelekile kukho konke ukuhleleka okungenzeka kwamagama ngokulandelana. Ngokubikezela ithokheni ngayinye enikezwe isethi engaphansi engahleliwe yamanye, imodeli ibona ngokuphumelelayo umongo we-bidirectional kuyilapho ihlezi iyimodeli efanele ye-autoregressive ngaphandle kokufihla ubuso. Yakhelwe phezu komgogodla we-Transformer-XL yenkumbulo yebanga elide, i-XLNet isebenze kahle ngokudlula i-BERT emisebenzini engaba ngu-20 ehlanganisa ukuphendula imibuzo, ukuhlaziya imizwa, kanye nezinga lemibhalo.
I-Technical Insight
I-XLNet ayishovi amagama ngokomzimba; ivumela i-oda le-factorization ngokusebenzisa imaski yokunaka, ngakho-ke ulwazi lwendawo luyagcinwa. Ukwenza lokhu kusebenze, isebenzisa 'ukuzinaka kokusakaza-mbili': ukusakaza kokuqukethwe okufaka ikhodi kokubili ithokheni nomongo wayo, kanye nokusakaza kombuzo owazi indawo yalowo oqondiwe kodwa hhayi okuqukethwe kwakho, okuvumela ukubikezela ngaphandle kokuvuza impendulo. Ukuphindaphinda kwe-Transformer-XL kanye nombhalo wekhodi wendawo ohlobene kuyinikeza inkumbulo kuwo wonke amasegimenti amade, ukuthuthukisa ukuphathwa kwamadokhumenti amade.
I-Mastering XLNet Permutation Modeling
I-XLNet ihlanganisa umongo wokuqondiswa kabili we-BERT nokubikezela okuzenzakalelayo kwe-GPT ngokuqeqesha phezu kokuhleleka kwamagama okungahleliwe. Leli qhinga lemvume liyivumela ukuthi ifunde kuzo zonke izikhundla ngaphandle kokufihla amathokheni. I-XLNet Permutation Modeling iyingxenye yesitaki solimi-AI esisetshenziselwa ukufunda, ukukhiqiza, ukuhlukanisa, nokuguqula umbhalo nenkulumo ngezikali. Ukuze wakhe ukuqonda okujulile, phatha i-XLNet Permutation Modeling njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, cacisa ukuqagela, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa imiyalo yedizayini ye-XLNet Permutation Modeling, ukubuyisa, nokubuyekeza amalophu njengohlelo olulodwa lokuxhumana oludidiyelwe. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Ukugeleza komsebenzi wolimi kungahamba ngokushesha ngaphandle kokudela ukuvumelana. Ngesikhathi esifanayo, amaqiniso Akhohliwe angafaka imibiko buthule, ukugeleza kosekelo, noma imiphumela yocwaningo. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Ukugeleza komsebenzi wolimi kungahamba ngokushesha ngaphandle kokudela ukuvumelana.
Ukugeleza komsebenzi wolimi kungahamba ngokushesha ngaphandle kokudela ukuvumelana. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Yandisa ukufinyelela kuzo zonke izilimi nezitayela zokuxhumana.
Yandisa ukufinyelela kuzo zonke izilimi nezitayela zokuxhumana. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amaqembu angachitha isikhathi esiningi ekwahluleleni kuyilapho i-automation isingatha impinda.
Amaqembu angachitha isikhathi esiningi ekwahluleleni kuyilapho i-automation isingatha impinda. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukuzuza imiphumela ephezulu kumabhentshimakhi wokuphendula imibuzo njenge-SQuAD
Ukuphatha imisebenzi yamadokhumenti amade njengokuhlola ukuqonda ukufunda kwe-RACE ngememori ye-Transformer-XL
Izilinganiso zamadokhumenti anamandla kanye nezinhlelo zokuthola ulwazi
Ukuthuthukisa ukuhlukaniswa kwemizwelo kanye nokuhlelwa kombhalo ngaphezu kwesisekelo se-BERT
Amaphethini Okusebenzisa
I-XLNet Permutation Modeling in practice
Ukuzuza imiphumela ephezulu kumabhentshimakhi wokuphendula imibuzo njenge-SQuAD.
Ukuzuza imiphumela ephezulu kumabhentshimakhi okuphendula imibuzo afana namaQembu e-SQuAD ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcine indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-XLNet Permutation Modeling in practice
Ukuphatha imisebenzi yamadokhumenti amade njengokuhlola ukuqonda ukufunda kwe-RACE ngememori ye-Transformer-XL.
Ukuphatha imisebenzi yamadokhumenti amade njengokuhlola ukuqonda ukufunda kwe-RACE nge-Transformer-XL Memory Teams ngokuvamile athola imiphumela engcono lapho echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-XLNet Permutation Modeling in practice
Izilinganiso zamadokhumenti anamandla kanye nezinhlelo zokuthola ulwazi.
Izilinganiso zamadokhumenti anamandla kanye nezinhlelo zokutholwa kolwazi Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-XLNet Permutation Modeling in practice
Ukuthuthukisa ukuhlukaniswa kwemizwelo kanye nokuhlelwa kombhalo ngaphezu kwesisekelo se-BERT.
Ukuthuthukisa ukuhlukaniswa kwemizwa nokuhlelwa kombhalo ngaphezu kwesisekelo se-BERT Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
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
Chaza ifomethi yokuphumayo, ithoni, namazinga wekhwalithi ngaphambi kokukhishwa.
Chaza ifomethi yokuphumayo, ithoni, namazinga wekhwalithi ngaphambi kokukhishwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Izimpendulo eziyisisekelo ngemithombo ethembekile noma nini lapho ukunemba kubalulekile.
Izimpendulo eziyisisekelo ngemithombo ethembekile noma nini lapho ukunemba kubalulekile. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gcina indawo yokuhlola isibuyekezo somuntu ukuze uthole imiphumela ephezulu.
Gcina indawo yokuhlola isibuyekezo somuntu ukuze uthole imiphumela ephezulu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Landela amaphethini okuhluleka futhi uqeqeshe kabusha imiyalo noma ukuhamba komsebenzi njalo.
Landela amaphethini okuhluleka futhi uqeqeshe kabusha imiyalo noma ukuhamba komsebenzi njalo. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.