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échantillonnage buñ waajal ak exposition bias
Exposition bias mooy bërëb biy feeñ sudee ab model buñu tàggat ci prefix yu jaar yoon rek dafa wara, ci inference, condition ci ay output yu jaarul yoon.
Déglul tegtal biiIA-nettali · ~2 min
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Résumé
Scheduled sampling is a curriculum that gradually closes that gap.
Plongeur bu xóot
Model yiñ tàggat ak jàngalekat bi di forse, duñu musa gis dëgg-dëgg tokens ni contexte, waaye ci jamonoy generation ñu ngi feedback seen predictions. Su njuumte bu teel wàcce model bi ci anam wimu musul dajeel ci diiru tàggat yaram, njuumte yi mën nañu snowball, muy anam wu ñuy woowe exposition bias. Sampling buñ nara def, bi Bengio ak ay naataango dugal ci 2015, dafay saafara jafe-jafe yii ci flipping benn piyeesu xaalis ci jéego bu nekk ci decoding ci diiru tàggat: ak yenn probabilite dafay dundal token dëgg (jàngalekat bi di forse) te luko moy dafay dundal model bi boppam sampled prediction. Li mëna am ci jëfandikoo dëgg gi ci suuf mingi tàmbali ci wetu benn ba noppi di wàññeeku ci tàggat yaram jaaraleko ci benn kalendriye (ligneer, exponentiel, wala inverse-sigmoid), kon model bi dafay gëna dem ba génne boppam ba noppi jàng ni ñuy defaree ay njuumteem.
Doxal ci àdduna dëgg
Taggat ab xeetu nataal-captioning ak sampling buñ waajal suko defee mu jàng wéyal bu baax ginaaw baat buñu wax lu jaarul yoon
Dafay yàq probabilite forse jàngalekat bi ak oraaru sigmoid bu dëddu ci sistemu tekki masin neuronal
Saytu ab chatbot buy dem ci ay boucles yu jaxasoo ni exposition-bias symptom bu juge ci forsu jàngalekat bu seer
Tegtale poñ yi BLEU am ci ab resuméer buñu tàggat ak jàngalekat bu mat sëkk ak benn buñu tàggat ci échantillonnage
Ëlëgu sampling biñ nara def ak exposition bias
Ci xeetu làkku Transformer yu mag yi, jafe-jafe yi ci exposition bias ñu ngi ciy waxtaan, ndax done yu bari ak echel daf koy wàññi, ak pexe yu melni RLHF di soppi doxalinu generation bi ci saasi. Ba leegi, échantillonnage buñ waajal ak ay doomam ñu ngi wéy di am solo ci model yu gëna ndaw, defar buñ yamale, ak liggéey yu am soxla yu jaar yoon. Liggéey bi ci kanam dafay boole exposition curriculum, xeetu mébet yu toppalante, ak tàggat yu gëna néew risk ngir méngale ni ñuy tàggatee model yi ak ni ñuy decode.
Teg ko ci jëf
Lu tax mu am solo
- Njëgg ak budget. Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
- dogal yu gëna leer. Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
- Xool kalite. Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Moytul
- Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
- Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
- Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Jéego yi ci topp
- Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
- Benchmark ci biir sargal ak done yu dëggu.
- Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
- Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the Scheduled Sampling and Exposure Bias quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is Scheduled Sampling and Exposure Bias?
Exposition bias mooy bërëb biy feeñ sudee ab model buñu tàggat ci prefix yu jaar yoon rek dafa wara, ci inference, condition ci ay output yu jaarul yoon. Échantillonnage buñ waajal prograamu njàngale la buy tëj bërëb boobu ndànk-ndànk.
Lan la sampling biñ nara def ci diiru tàggat yaram?
Échantillonnage buñ waajal dafay jaxase ci anam wu stochastically dëgg ak jeton yuñ defaree ci model ni ay duggal decodeur, ñu yor ko ci probabilite buy yàqu.
Ak naka la probabilite jëfandikoo token ground-truth di soppikoo ci tàggat ci échantillonnage biñ nara def?
Jadwal bi mingi tàmbali ci diggu jàngalekat bi yépp, ba noppi di yàqu, moo tax model bi dafay gëna exposé ci ay prediction boppam lu muy gëna mëna dem.
Kan moo dugal sampling biñ nara def, ak kañ lañu koy def?
Samy Bengio ak ay naataangoom ñoo tàmbale jël misaal ci atum 2015 ngir mëna wax luy waaja am ci reso yuy baaxoo am.
Ban jëmmu oraaire lañuy faral di wax ngir yàq probabilite forse jàngalekat bi?
Liggéey bu njëkk bi dafa tàmbale ligneer, exponentiel, ak inverse-sigmoid decay ngir wàññi probabilite sampling dëgg gi ci suuf.
At a decoding step where scheduled sampling chooses the model-output branch, what is fed as the next context token?
Scheduled sampling sometimes feeds the model’s own sampled prediction instead of the gold previous token.
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