Bias Logit
Logit bias ab knob la buy nudge ab modelu làkk ci wala fu sori ci ay token yuñ tànn ci yokk benn nimero bu takku ci seeni poñ balaa model bi di tann baat bi ci topp.
Résumé
It is a lightweight way to ban words, force choices, or shape style without retraining anything.
Plongeur bu xóot
Laata benn model di tànn token bi ci topp, dafay defar benn logit (poñ bu jaarul yoon) ngir token bu nekk ci vocabulaire bi. Logit bias daf lay may nga yokk benn valeur budul soppeeku ci logits yi ci token yiñ tànn ci seeni ID token numérique. Bias bu baax bu rëy dafay tax token bi gëna mëna sample; bias bu baaxul bu rëy (dafay faral di nekk -100 ci API yi) daf koy tere. Ndax coppite bi dafay am laataa softmax biy soppi poñ yi ci probabilite, ba ci njuumte yu ndaw yi dañuy soppi séddale bi ci anam wu am solo. Lu gëna am solo mooy, njubadi bi dafa nekk ci ID token, du baat lëmm - kon baat bu bari-token mën na soxla bu nekk ci ay piyees yu njubadi ngir dindi wala fësal ko. Xeetu paj mu gaaw la, te soxlawul ñu defar ko bu baax, te mën nañu ko jëfandikoo ci laaj bu nekk.
Gis-gis xarala
Logits mooy poñ yi am valeur dëgg; softmax daf leen di yokk, kon yokk +5 ci benn jeton dafay yokk poids bimu normalisewul ak e^5 (~148x) balaa normalisation. Yokk -100 dafay puus wërsëgu post-softmax ba amul dara. Ndax tokenizers yi dañuy jëfandikoo ay subword, baat 'unhappy' mën na nekk ñaari token; biasing piyees bu njëkk bi kese duko mëna doxal lépp. Boobu subword granularity mooy gotcha bu mag bi nit ñi di jéema tere benn baat te ba leegi mingi jaar ci wàll.
njeextalu pexe
Gaawaay ak yaatuwaay
Liggéeyukaay yi ci làkk yi mën nañu gëna gaaw te duñu yàq deggoo gi.
Dugg ak yegg
Dafay yaatal jëfandikoo gi ci làkk yi ak ci anam yi ñuy jokkoo.
dogal yu gëna leer
Ekip yi mën nañu gëna yàgg ci àtte ci jamono ji otomatisation di liggéey ci baamtu.
Ëlëgu Logit Bias
Logit bias mingi wéy di nekk lu am solo ci steering bu gaaw, waaye yeneen pexe yu gëna riis ñu ngi gëna bari: decodage buñ yamale / tënk ngir gaaraati yu dëgër, ak steering buy aktive wala ingenieur buy wane ni nudge vecteur yi ci biir model bi moo gën poñ yi ñuy génne. Xaarandi APIs ñu tëye logit bias ni escape hatch bu yomb bi ñuy joxe ay njiit yu gëna kawe - ay mbind yuñ tere, ay tegtali stil, ay filtre kaaraange - yuy jëfandikoo tokenization ci saasi suko defee developpeur yi duñu wara xalaat ci ID token yu ñor.
Doxal ci àdduna dëgg
Teg -100 bias ci token yu ñaaw ngir tere chatbot musa génne yenn baat.
Forse waaw/déedet classifier ci joxe bias positif bu dëgër ci 'Waaw' ak 'Déedet' tokens ak dindi leneen lépp.
Bu leen ñaax ñu baña jëfandikoo ab baat bu bari wala ab baat buy fees ci jëfandikoo ab tënk bu baaxul ci ay tokenam.
Yokkatal ay terme yuñ jagleel domen bi (lu melni turu produit) suko defee ab resumé mëna leen wax ci anam wu wóor.
Risk yi ak balustrade yi
Lépp lu jaarul yoon mën na dugg ci rapoor yi, jàppale ci liggéey bi, wala ci njariñu gëstu bi.
Sensibilite bu gaaw mën na jur njariñ yu wuute ci laajte yu noonu mel.
Done yu am solo mën nañu feeñ sudee seytu jëfandikoo gi néew doole.
Roadmap ngir samp gi
Mandargal formaa génne gi, melokaan bi, ak standard kalite yi laata ngay dugal ko.
Tontu yu am solo ak balluwaay yu wóor saa yu dëggu bi di am solo.
Fexeel am barabu xool nit ñi ngir am njariñ yu am solo.
Toppal anami gacce yi ak di faral di tàggataat ay laaj wala def-liggéey.
Weyal di banneexu
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Gis bi ci topp
ALiBi position bias
Laaj yi ñuy faral di laaj
What is Logit Bias?
Logit bias ab knob la buy nudge ab modelu làkk ci wala fu sori ci ay token yuñ tànn ci yokk benn nimero bu takku ci seeni poñ balaa model bi di tann baat bi ci topp. Anamu tere kàddu la, tànneef yu forse, wala stil jëmm te doo tàggataat dara.
Lu logit bias di soppi?
Logit bias dafay yokk benn constant ci logits ID token yiñ tànn, di soppi ni ñu leen mëna tànnee, te du soppi model bi ci boppam.
Ci API yu bari, lan la logit bias bu -100 ci kaw benn token mëna def?
Bias negatif bu mag bu melni -100 dafay yóbbe probabilite post-softmax token bi ba zero, kon daanaka duñu ko musa defar.
Lan moo waral tere ab baat bu am logit bias yenn saa yi mën na génne ab genn-wàll?
Tokenizers dañu xaaj baat yu bari ci token subword yu bari, kon biasing piyees bu njëkk bi kese du mëna dindi baat bi yépp.
Logit bias mooy ban ràññeekaay la?
Bias valeur yi dañu leen di jëfandikoo ci ID token yi ci vocabulaire tokenizer bi, moo tax danga wara xam ID yi ci piyeesu benn baat.
Ndax logits yi dañuy jaar ci softmax, lan mooy njeextalu yokk benn bias bu baax?
Softmax dafay exponentie logits, kon doonte benn bias bu baax dafay yokk bu baax poids bu token bi amul normal, di yokk bu baax chance yi.