Dubawa
XLNet ya haɗu da mahallin mahallin BERT tare da tsinkayar GPT ta autoregressive ta hanyar horarwa akan oda bazuwar kalma. Wannan dabarar juzu'i tana ba ta damar koyo daga kowane matsayi ba tare da rufe alamun ba.
XLNet Permutation Modeling wani ɓangare ne na tarin harshe-AI da ake amfani da shi don karantawa, ƙirƙira, rarrabuwa, da canza rubutu da magana a sikeli.
Zurfafa nutsewa
XLNet, wanda Carnegie Mellon ya gabatar a cikin 2019 da Google Kwakwalwa, an ƙera shi don gyara aibi a cikin horon da ya dace da salon BERT. BERT yana rufe alamomi kuma yana tsinkayar su, amma alamar wucin gadi [MASK] ba ta bayyana a lokacin daidaitawa, ƙirƙirar rashin daidaituwar jirgin ƙasa/gwaji, kuma BERT tana ɗaukar alamun rufe fuska masu zaman kansu. A maimakon haka XLNet yana amfani da 'samuwar ƙirar harshe': yana haɓaka da yuwuwar yuwuwar yin odar kalmomin a jere. Ta hanyar tsinkayar kowane alamar da aka ba da bazuwar juzu'in sauran, ƙirar tana ganin yadda ya kamata mahallin bidirectional yayin da ya kasance ingantaccen samfurin autoregressive ba tare da abin rufe fuska ba. An gina shi akan kashin baya na Transformer-XL don ƙwaƙwalwar ajiya mai tsayi, XLNet ya fi BERT akan ayyuka kusan 20 ciki har da amsa tambaya, nazarin jin daɗi, da matsayi na takarda.
Fahimtar Fasaha
XLNet baya karkatar da kalmomi a zahiri; yana ba da oda mai ƙarfi ta hanyar abin rufe fuska, don haka ana adana bayanan matsayi. Don yin wannan aikin, yana amfani da 'hankalin kai na rafi biyu': rafin abun ciki wanda ke ɓoye alamar alama da mahallinsa, da rafin tambaya wanda ya san matsayin manufa amma ba abun ciki ba, yana ba da damar hasashen ba tare da faɗuwar amsar ba. Maimaitawar Transformer-XL da ƙwanƙolin matsayi na dangi suna ba shi ƙwaƙwalwar ajiya a cikin dogayen sassa, inganta sarrafa dogayen takardu.
Mastering XLNet Permutation Modeling
XLNet ya haɗu da mahallin mahallin BERT tare da tsinkayar GPT ta autoregressive ta hanyar horarwa akan oda bazuwar kalma. Wannan dabarar juzu'i tana ba shi damar koyo daga kowane matsayi ba tare da rufe alamun ba. XLNet Permutation Modeling wani ɓangare ne na tarin harshe-AI da ake amfani da shi don karantawa, ƙirƙira, rarrabuwa, da canza rubutu da magana a sikeli. Don gina zurfin fahimta, bi da XLNet Permutation Modeling azaman samfurin aiki, ba sifa ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi masu amfani da XLNet Permutation Modeling ƙira suna sawa, dawo da, da sake duba madaukai azaman tsarin sadarwa mai haɗaka. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba. A lokaci guda, abubuwan da ba a iya gani ba na iya shigar da rahotanni cikin nutsuwa, kwararar goyan baya, ko abubuwan bincike. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba.
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa.
Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa.
Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Samun babban sakamako akan ma'auni na amsa tambaya kamar SQuAD
Gudanar da ayyuka na dogon lokaci kamar gwajin fahimtar karatun RACE ta hanyar ƙwaƙwalwar Transformer-XL.
Ƙimar daftarin aiki da tsarin dawo da bayanai
Inganta rarrabuwar ra'ayi da rarrabuwar rubutu akan tushen tushen BERT
Hanyoyin Aiwatarwa
XLNet Permutation Modeling a aikace
Samun babban sakamako akan ma'auni na amsa tambaya kamar SQuAD.
Samun babban sakamako akan ma'auni na amsa tambaya kamar Ƙungiyoyin SQuAD yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in ƙira, da bin duk nasarorin samarwa da farashi na kuskure akan lokaci.
XLNet Permutation Modeling a aikace
Gudanar da ayyuka na dogon lokaci kamar gwajin fahimtar karatun RACE ta hanyar ƙwaƙwalwar Transformer-XL.
Gudanar da ayyuka na dogon lokaci kamar gwajin fahimtar karatun RACE ta hanyar Ƙungiyoyin ƙwaƙwalwar ajiya na Transformer-XL yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
XLNet Permutation Modeling a aikace
Ƙimar daftarin aiki da tsarin dawo da bayanai.
Ƙimar daftarin aiki da tsarin dawo da bayanai Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
XLNet Permutation Modeling a aikace
Inganta rarrabuwar ra'ayi da rarrabuwar rubutu akan tushen tushen BERT.
Haɓaka rarrabuwar ra'ayi da rarrabuwar rubutu akan tushen tushen BERT Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙima masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in ƙira, da bin duk nasarorin samarwa da tsadar kuskure a kan lokaci.
Hatsari & Tsare-tsare
Abubuwan da aka ruɗe suna iya shigar da rahotanni cikin nutsuwa, kwararar tallafi, ko abubuwan bincike.
Hankali na gaggawa na iya ƙirƙirar sakamako mara daidaituwa a cikin buƙatun iri ɗaya.
Za a iya fallasa bayanan rubutu mai ma'ana idan ikon samun dama yana da rauni.
Taswirar Hanya
Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa.
Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci.
Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma.
Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai.
Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.