Uhlolojikelele
I-ELMo (Ukushumeka Okusuka Kumamodeli Olimi) kwaba impumelelo yango-2018 enikeza igama ngalinye ukumelwa okulotshwe umusho walo, ngakho 'ibhange' 'ebhange lomfula' lihlukile 'kubhange' elithi 'ibhange lokonga.' Kuphawule ukugudluka ukusuka kumavekhtha amagama amile ukuya ku-NLP eqaphela umongo.
I-ELMo Contextual Embeddings iyingxenye yesitaki solimi-AI esetshenziselwa ukufunda, ukukhiqiza, ukuhlukanisa, nokuguqula umbhalo nenkulumo ngezikali.
I-Deep Dive
I-ELMo, eyethulwe yi-Allen Institute yabacwaningi be-AI (uPeters et al., 2018), ikhiqiza izethulo zamagama ngokusebenzisa umusho ngemodeli yolimi ye-LSTM ejulile yokuqondisa kabili eqeqeshwe kukhophasi yamagama ayibhiliyoni. Ngokungafani ne-Word2Vec noma i-GloVe, enikeza i-vector eyodwa engaguquki ngegama ngalinye, i-ELMo ibala i-vector entsha kukho konke ukwenzeka ngokusekelwe kumongo ozungezile. Okubalulekile, i-ELMo ihlanganisa zonke izendlalelo ze-LSTM zangaphakathi ngokusebenzisa izisindo ezifundiwe, eziqondene nomsebenzi othile kunokusebenzisa isendlalelo esiphezulu kuphela. Izendlalelo ezingezansi zivame ukuthatha i-syntax (ingxenye yenkulumo, isakhiwo) kuyilapho izendlalelo eziphakeme zithwebula i-semantics nomuzwa wamagama. Ukwengeza i-ELMo kumamodeli akhona kukhiqize izinzuzo ezinkulu kuyo yonke imisebenzi eyisithupha, okuhlanganisa ukuphendula imibuzo, ukuhlaziya imizwa, nokuqashelwa kwebhizinisi okuqanjwe igama.
I-Technical Insight
I-ELMo inqwabelanisa ama-LSTM amabili: imodeli yolimi oluya phambili ebikezela igama elilandelayo nengemuva elibikezela igama langaphambilini, ngalinye lingaphezu kokokufaka kwe-CNN kwezinga lohlamvu (ngakho iphatha amagama angabonakali). Ngomsebenzi owenzela ezansi nomfula, i-ELMo igoqa izethulo zesendlalelo isebenzisa izisindo ze-softmax-normalized kanye nesikala, konke okufundiwe phakathi nokushuna kahle. Lokhu kusho ukuthi umsebenzi ngamunye unganquma ukuthi ingakanani isignali ye-syntactic nesemantic oyifunayo ku-biLM eqandisiwe eqeqeshwe kusengaphambili.
Ukwenza kahle ukushumeka kokuqukethwe kwe-ELMo
I-ELMo (Ukushumeka Okusuka Kumamodeli Olimi) kwaba impumelelo yango-2018 enikeza igama ngalinye ukumelwa okulotshwe umusho walo, ngakho 'ibhange' 'ebhange lomfula' lihlukile 'kubhange' elithi 'ibhange lokonga.' Kuphawule ukugudluka ukusuka kumavekhtha amagama amile ukuya ku-NLP eqaphela umongo. I-ELMo Contextual Embeddings iyingxenye yesitaki solimi-AI esetshenziselwa ukufunda, ukukhiqiza, ukuhlukanisa, nokuguqula umbhalo nenkulumo ngezikali. Ukuze wakhe ukuqonda okujulile, phatha i-ELMo Contextual Embeddings njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-ELMo Contextual Embeddings aklama imiyalo, ukubuyisa, nokubuyekeza amaluphu 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
Ukuthuthukisa amasistimu okuqashelwa kwebhizinisi okumele asho ukuthi i-'Washington' ibhekisela kumuntu, isifunda, noma idolobha ngokusekelwe emagameni azungezile.
Ukuthuthukisa ukuhlaziya imizwa ngokuthwebula ukuthi 'ogulayo' kusho ukuthi 'ngiyagula' kusho ukuthi 'ngiyagula' kodwa kuphoqelekile ngesiqubulo esithi 'lokho kuyagula'
Ukuthuthukisa amasistimu wokuphendula imibuzo kubhentshimakhi ye-SQUAD ngokuphakela ama-vector amathokheni azwela umongo kumfundi
Ukwehlukanisa imizwa yamagama ekuhumusheni komshini amagama amaningi afana 'nesitshalo' ahumusha kahle umongo onikeziwe
Amaphethini Okusebenzisa
I-ELMo Contextual Embeddings iyasebenza
Ukuthuthukisa amasistimu okuqashelwa kwebhizinisi okufanele asho ukuthi i-'Washington' isho umuntu, isifunda, noma idolobha ngokusekelwe emagameni azungezile.
Ukuthuthukisa amasistimu okuqashelwa kwebhizinisi okufanele asho ukuthi i-'Washington' ibhekisela kumuntu, isifunda, noma idolobha ngokususelwe emagameni azungezile Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-ELMo Contextual Embeddings iyasebenza
Ukuthuthukisa ukuhlaziya imizwa ngokuthwebula ukuthi 'ukugula' kusho ukuthi 'ngizizwa ngigula' kusho ukuthi 'ngiyagula' kodwa ku-policy 'lokho kuyagula'.
Ukuthuthukisa ukuhlaziya imizwelo ngokuthatha ukuthi 'ukugula' kusho ukuthi 'ngiyagula' kusho ukuthi 'ngiyagula' kodwa ngikhuluma kahle nge-slang 'lokho kuyagula' Amaqembu ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-ELMo Contextual Embeddings iyasebenza
Ukuthuthukisa amasistimu wokuphendula imibuzo kubhentshimakhi ye-SQUAD ngokuphakela ama-vector amathokheni azwela umongo kumfundi.
Ukuthuthukisa amasistimu okuphendula imibuzo kubhentshimakhi ye-SQUAD ngokuphakela ama-vector amathokheni azwelayo kumongo kumfundi Amathimba ngokuvamile athola imiphumela engcono lapho echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-ELMo Contextual Embeddings iyasebenza
Ukwehlukanisa imizwa yamagama ekuhumusheni komshini amagama amaningi afana 'nesitshalo' ahumusha kahle umongo onikeziwe.
Ukuhlukanisa imizwa yamagama ekuhumushweni komshini ukuze amagama ahlukahlukene afana 'nesitshalo' ahumushe umongo onikezwe ngendlela efanele Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelela 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.