Guddaay normalisasioŋ ci tànneef tànneef
Normalisasioŋ guddaay dafay yamale mébetu taamu-tuning suko defee model yi bàyyi am ndimbal ci bind tontu yu gëna gudd.
Résumé
It matters because uncorrected reward signals push chatbots toward verbose, padded responses instead of genuinely better ones.
Plongeur bu xóot
Sudee xeetu liggéey yi dañu méngoo ak anam yu melni RLHF wala DPO, dañu jàngee ci méngale yi nit ñi (wala xeetu neexal) tànnee 'li gëna baax' ci ñaari tontu. Benn njuumte budul jeex mooy tontu yu gëna gudd yi ñooy gëna taamu doonte duñu gëna baax, moo tax model bi jàng gaawaay bi: nekk wordy. Normalisasioŋ guddaay dafay xeex loolu. Ci DPO neexal biñ tënk mooy limu wuute ci log-probabilite ci token bu nekk, buy màgg ci mekanik ak guddaay bi. Variante yu melni DPO ak SimPO yuñ normalise ci guddaay dañuy xaaj neexal bi ak limu token yi, ñuy poñ ci token bu nekk. Lépp soo ko boolee mu am xeetu tontu yu gàtt te jaar yoon, duñu tontu lu bari ngir mëna yegg ci mébet mi.
Gis-gis xarala
Neexal bu nëbbu bi DPO am mooy log-ratio bi am ci digganté politik yiñ defar ak yiñ jox royuwaay, ñu boole ci token bu nekk ci tontu bi. Ndax token bu nekk dafay yokk beneen (dafay faral di nekk lu baax), neexal bu ñor bi dafay yokk guddaayig toppalante bi, di xajamal optimisation ci wàllu matt yu gëna gudd. SimPO dafay bàyyi xeetu royuwaay bi ba noppi jëfandikoo log-probabilite bu token bu nekk ngir neexal, boole ci marge neexal biñ bëgga am. Séddale ci guddaay dafay dindi njariñu guddaay mekanik bi, kon gradient yiñ taamu dañuy wane kalite bi moo gën limu baat yi.
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 normalisasioŋ guddaay ci tànneef
Xaarandil ni seytu guddaay bi nekk butoŋu standard moo gën ñu koy xalaat ginaaw. Gëstukat yi dañu boole normalisasioŋ guddaay ak daan yu leer ci guddaay, neexal yu am guddaay, ak suites evaluation yuy tëye guddaayi tontu bu soppeeku ngir natt njariñu kalite dëgg. Bi xeetu neexal yi di gëna mëna gis verbosity biais, pipelines alignment yi dina ñu xamle guddaay-debiased tolluwaayu ndam ci default, te jëfandikukat yi dina ñu gëna am kàttan ci ni tontu model yi wara nekk.
Doxal ci àdduna dëgg
Tuning assistant buy jàppale kiliyaan yi ak SimPO suko defee mu joxe tontu yu fëgër, yu jaar yoon ci barabu paragraf yu padded yuy xool bu baax.
Raporte 'taux de gagné contrôlé de longueur' ci AlpacaEval 2 ngir wane ab model bu gëna baax te baña gëna wax rek.
Yokk normalisasioŋ guddaay ci DPO sooy fine-tuning benn model codage suko defee mu delloosi snippets yu gëna néew, te baña nekk plaque de chaudière.
Saytu ab xeetu neexal buy joxe poñ yu gëna rëy ci essay yu gëna gudd, ba noppi nga debiasing ko balaa nga koy jëfandikoo ngir méngale ab assistant bindkat.
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.
Këyitu barab bi Normalisation Guddaay ci Optimisation Preference di jàppale ak barab bi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Optimisation Ratio Odds
Laaj yi ñuy faral di laaj
What is Length Normalization in Preference Optimization?
Normalisasioŋ guddaay dafay yamale mébetu taamu-tuning suko defee model yi bàyyi am ndimbal ci bind tontu yu gëna gudd. Dafa am solo ndax siñaal neexal yiñ jubbantiwul dañuy puus chatbots yi ci tontu yu bari, yu padded ci barabu tontu yu gëna baax.
Ban jeffin ju baaxul la normalisasioŋ guddaay ci DPO di njëkka jéema tere?
Neexal bu nëbbu bu DPO dafay màgg ak lim token, kon amul xeetu normalisation jàng ni gëna bari wax rek mooy gëna am ndam ci méngale yi.
Lan moo waral neexal biñ jagleel DPO dafay gëna yokk lu tontu bi di gëna gudd?
Neexal biñ tënk dafay boole ratios log-probability ci token bu nekk, kon token yu bari dañuy tekki neexal bu gëna mag.
naka la ko SimPO di def ngir saafara jafe-jafe yi ci guddaay bi?
SimPO dafay joxe poñ ci tontu yi ci seen moyenne (guddaay-normalisé) log-probabilite ba noppi yokk benn marge neexal buñ bëgga, dindi njariñu guddaay mekanik.
Ban jëfu jàngat mooy jàppale ñu firndeel xeetu model bu gëna baax ci kalite te baña yam ci guddaay kese?
Guddaay bi ñuy saytu tolluwaayu ndam li (ni ci AlpacaEval 2) dafay aju ci guddaayi tontu bi suko defee njariñ yi dañuy wane kalite bi, du verbosité.