Taggat ci waxtu test
Test-time training (TTT) dafay may model bi mu wéy di jàng ci bepp dugal bu bees ci saa bi muy wax luy waaja am, ludul des ci liw ginaaw tàggat.
Résumé
It is a powerful way to adapt to distribution shift and squeeze extra performance out of fixed models.
Plongeur bu xóot
Jàngum masin buñ miin dafay xaaj àdduna bi ci anam wu sell: dangay tàggat, dangay gelé diisaay yi, ba noppi nga dugal ko. Test-time training dafay jafeel loolu ci def ab burst bu ndaw ci jàng ci misaalu test bi ci boppam balaa ngay wax luy am. Ndax xamu ñu woon etiketu dëgg bi ci jamonoy test bi, TTT dafay jëfandikoo liggéey buy jàppale boppam, lu melni wax luy waaja jublu ci nataal buñ wëlbatiku wala defaraat ab patch buñ maske, buñu mëna xayma ñàkkam te du am etiketu. Optimiser liggéey boobu ci misaal biy dugg nudges représentation buñ bokk ngir méngoo ak done yu bees yi, ginaaw ga boppu bu mag bi def prediction bi. Benn anam bu bees dafay wëlbati xalaat bi ci biir: couche TTT dafay jëfandikoo nekkam bu nëbbu bi ni model bu ndaw bu ñuy yeesal ci wàccinu gradient ci benn toppalante, di joxe beneen anam buñu mëna jàng ngir bàyyi xel ci ay contexte yu gudd.
Gis-gis xarala
Ci xeetu TTT yu toppalante, nekkin bu nëbbu bi nekkul vecteur bu takku waaye diisaayu benn xeetu biir bu ñuy yeesal benn jéego gradient ci jeton bu nekk ci ñàkka tabaxaat buñ saytu boppam. Loolu dafay tax yeesal biy baaxoo nekk lu melni bàyyi xel waaye ligneer ci guddaayig toppalante, ndax token bu nekk dafay gëna xëcc ab optimisation inner-loop bu gaaw moo gën topp token yu njëkk yépp. Taggat yaram ci biti dafay jàng ni jàngat bi ci biir wara doxalee.
njeextalu pexe
dogal yu gëna leer
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
Njëgg ak budget
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey.
Ekip ak def liggéey
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Ëlëgu tàggat yaram ci waxtu test
TTT mingi am traction ni garab guy dakkal model yu liw yi di jànkoonte ak coppite ci done yu dëggu yi, ak ni architecture bu njëkk ngir modeling bu yàgg buy xëcc Transformers te amul njëgu quadratic. Xaarandi ibrid yiy jaxasoo TTT layers ak bàyyi xel, jëfandikoo bu gëna yaatu ci robotik ak gis-gis fu anam yi di soppeeku saa yu nekk, ak gëstu kaaraange ci ni adaptaasioŋ on-the-fly di doxalee ak wóor, ndax model biy yeesal boppam ci inference mën na dem ci yoon wi ñu xamul.
Doxal ci àdduna dëgg
Defar ab tànneefu nataal ci saasi sudee nataali dugal yi wuute nañu ak done yiñ tàggat (leer bu bees, meteo, wala kamera)
TTT couches ni transformateur buy wuutale ay toppalante yu gudd lool ak yeesali waxtu ligneer
Yokkatal xeetu pajum wala gëstukat ci benn hopitaal wala done yu wuute ci labo te kenn du leen tàggataat bu baax
Yokkatal dëgëraay ci duggal yu yàqu wala yu bari xumbaay ci gaaw ci defar misaal bu nekk
Risk yi ak balustrade yi
Ekip yu bari mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam.
Benchmark yi mën nañu nuru lu am doole waaye performance yi ci àdduna bi duñu tolloo.
Bëgg kalite done ak palaŋu jàngat dafay faral di jur njariñ yu yomba dagg.
Roadmap ngir samp gi
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer.
Bindal fi Test-Time Training di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Yokkateg waxtu test
Laaj yi ñuy faral di laaj
What is Test-Time Training?
Test-time training (TTT) dafay may model bi mu wéy di jàng ci bepp dugal bu bees ci saa bi muy wax luy waaja am, ludul des ci liw ginaaw tàggat. Anamu mëna ànd ak coppite ci séddale bi ak dindi yeneen performance ci model yu fiks yi.
Lan moo wuutale tàggat yaram ci waxtu examen ak tàggat yaram buñ miin?
TTT def njàng mu néew ci misaalu test bi ci boppam, moo gën ñuy gelé poids yi ginaaw fase tàggat yaram.
Lan moo waral TTT bu yàgg bi di aju ci liggéey buy jàppale boppam?
Bi nga xamee ni etiketu dëgg bu misaalu test bi xamu ñu ko, TTT dafay jëfandikoo liggéey bu melni wax luy waaja am ci rotation wala tabaxaat buñ maskeer te ñàkkam soxlawul etiketu.
Ci biir benn couche de séquence TTT, lan mooy nekk stade bu nëbbu bi?
Couche TTT dafay jàppee nekkinam bu nëbbu bi ni model bi ci biir, poid yi ñuy yeesal ci jéego gradient ci token bu nekk.
Lan mooy njariñu efficacité bu mag bi TTT di joxe ci wàllu toppalante?
Soo defee ab yeesal ci biir loop bu gaaw ci jeton bu nekk ci barabu topp ci jeton yi njëkk yépp, TTT layers def scaling linear-time.
Ban jafe-jafe ci àdduna bi la TTT gëna mëna saafara?
TTT dafay jàppale model yu liw yi ñu mëna jànkoonte ak jafe-jafe yi (leer, kaptër, domen) wuute ak li ñu gis ci tàggat-yaram.