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Déglul tegtal biiIA-nettali · ~2 min
Dafay yokk li eksper bi xam ak li amateur bi namm, wàññi baamtu ak génne gu neexul.
Contrastive decoding scores candidate tokens using an expert model and an amateur model, subtracting a weighted amateur log-probability from the expert score. It can suppress tokens that both models favor, including some generic or repetitive continuations. An adaptive plausibility constraint filters out tokens whose expert probability is too small relative to the expert’s highest-probability token. This constraint limits candidates; it does not guarantee coherent, grammatical, or truthful output. Output quality depends on the models, coefficient, threshold, prompt, and task, so evaluate the full generation. The method runs at inference time with two models and requires no additional training.
Defar jaar-jaar yu gudd te duñu baamtu wala wéyal xët fu sampling nucleus di dem ci ay boucles
boole ab expert 65B ak ab amateur 1.5B ngir gëna suqaliku
Wàññi baamtu degenerate ci résumé ak ci njariñu waxtaan
Di nekk royuwaay ci DoLa-style self-contrast ngir wàññi gis-gis yu dëggu yi
Decodage contrastif inspiré na famiy 'contrast ci inference' pexe, lu ci melni DoLa (kontras model bi teel ak mujjentalu layers ngir dagg hallucination) ak xeetu context-aware yu wuute ak ak amul këyitu jël. Xaarandil lëkkaloo bu gëna dëgër ak seetlu, joxe poñ ci dëgg, ak distilaasioŋ bu ndaw-amateur, boole ci boole ak dekodaas speculatif suko defee amateur bi di doxal kalite bi ba noppi gaaw defar benn yoon.
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Dekodaas bu wuute dafay defar mbind mu gëna baax ndax dafay dindi tendaas yu modelu làkk bu ndaw te néew doole ci yu yaatu te am doole. Dafay yokk li eksper bi xam ak li amateur bi namm, wàññi baamtu ak génne gu neexul.
Log-probabilités amateur yi dañu leen di dindi ci expert yi, ñu fomm njuumti sistemik yi (lu melni bëgg token yu bari) yu ñaari model yi bokk.
Ñari xeetu mbir yooyu dañu taamu jeton yu bari frequency ak yuy baamtu; dindi amateur bi dafay dindi bët bu ñu bokk, di wàññi tànneef yu baaxul yi.
The constraint removes low-expert-probability tokens before contrastive scoring; it does not certify the coherence or truth of the final output.
Kandidaa bu nekk ñu ngi koy jox poñ ci probabilite log eksper bi dindi ci probabilite log amateur biñ pondéree, ñuy neexal token yi eksper bi taamu.
DoLa dafay wuutale xeetu xam-xam bu teel (couche bu njëkk) ak bu màgget (couche bu mujj) ngir wàññi hallucination, jëfandikoo konsepti wuutale ci benn model.
Weyal di jàng
Tann nañu yeneen njiit ngir topic bii
Ci bi mu melGis bi ci topp
Dekodage Risk Bayes bi gëna ndaw
IA làkk