Résumé
Model merging dafay boole diisaayu ñaari wala lu ëpp reso neuronal yuñ tàggat ci benn model — te kenn du leen tàggataat wala ñu mëna am done yiñ tàggat. Dafa am solo ndax dafay may ekip yi ñu boole seen xam-xam ci anam wu yomb, ba noppi soppi model yu seer yi ñu defaree ay blok yuñ mëna jëfandikoowaat.
Model Merging ab bloku tabax xarala la buy indi jafe-jafe ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci eskaal bi.
Plongeur bu xóot
Njaxasu model dafay boole parametre yi (poid yi) ci model yu bari yu bokk benn architecture. Pexe bi gëna yomba def mooy jël moyenne poids yi ko méngoo. Pexe yu gëna am xel ñooy liggéey ak 'vecteur de travail' — wuute gi nekk ci digganté model buñ defar bu baax ak fundamam. Yokk benn vecteur liggéey dafay indi mën mën; dindi ko mën na dindi jeffin ju baaxul. Pexe yu melni TIES-Merging ak DARE dañuy dagg ak defaraat vecteur yooyu ngir wàññi jafe-jafe yi suñu boole model yu bari. Ndax amul benn wàccinu gradient wala done yuñ soxla, boole dafay dox ci ay segond ci ordinatër portable. Japp bi: du dox ludul sudee model yi wàcci ci benn base bu ñu bokk te dëkk ci gox yu méngoo ci espace poids.
Gis-gis xarala
Li gëna am solo mooy fine-tuning dafay toxal diisaay yi ci 'bassin perte' bu dalal ci wetu modelu base bi. Vecteur de task lu yomb la (poid yuñ defar bu baax dindi ci poid yu njëkk yi). Ndax vecteur yooyu dañuy nuru ligneer te dañuy faral di jege orthogonal ci liggéey yu bari, mën nga leen boole ñu bari te model biñ boole dafay tëye mën mën bu nekk. TIES ak DARE dañu njëkka dagg delta yu ndaw wala yu wuute ngir dagg ñàkka deggoo ci màndarga, ba noppi boole leen, ngir tere benn liggéey bind beneen.
Mastering model boole
Model merging dafay boole diisaayu ñaari wala lu ëpp reso neuronal yuñ tàggat ci benn model — te kenn du leen tàggataat wala ñu mëna am done yiñ tàggat. Dafa am solo ndax dafay may ekip yi ñu boole seen xam-xam ci anam wu yomb, ba noppi soppi model yu seer yi ñu defaree ay blok yuñ mëna jëfandikoowaat. Model Merging ab bloku tabax xarala la buy indi jafe-jafe ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci eskaal bi. Ngir tabax xam-xam bu xóot, jàppal Model Merging ni modelu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeralal xalaat yi, ba noppi tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Model Merging dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Jaxasoo benn model buñ defar ci kodage ak benn model buñ defar ci chat suko defee benn LLM bind kode ba noppi waxtaan ci anam wu natureel, te kenn ci ñoom du tàggataat.
Jàngat yu jëm ca kanam yu boole xeetu làkku japonais ak xeetu math anglais ngir sos ab solver math bu dëgër ci làkku japonais.
Dindi benn vecteur liggéey 'toxisite' ci diisaayu benn model ngir wàññi génne yu bonn yi te doo dajale ay done yu bees ci wàllu kaaraange.
boole ay adaptatëri LoRA yuñ tàggat ci xeeti bind yu wuute ci benn model bu mëna soppi ton ci anam wu yomb.
Modèlu jëfandikoo
Model boole ci jëf
Jaxasoo benn model buñ defar ci kodage ak benn model buñ defar ci chat suko defee benn LLM bind kode ba noppi waxtaan ci anam wu natureel, te kenn ci ñoom du tàggataat.
Jaxasoo benn xeetu coding-tuned ak benn model chat-tuned suko defee benn LLM bind kode ak waxtaan ci anam wu natureel, te duñu tàggataat benn ci ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Model boole ci jëf
Jàngat yu jëm ca kanam yu boole xeetu làkku japonais ak xeetu math anglais ngir sos ab solver math bu dëgër ci làkku japonais.
Jàngat yu jëm kanam yu boole benn xeetu làkku japonais ak benn xeetu math anglais ngir sos ab solver math bu dëgër ci làkku japonais. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee ay pursàntaasu kalite ci kanam, tëye yoon wi nit ñi di yokk ngir jafe-jafe yi, ba noppi topp njariñu liggéey bi ak njëgu njuumte yi ci diir bu gàtt.
Model boole ci jëf
Dindi benn vecteur liggéey 'toxisite' ci diisaayu benn model ngir wàññi génne yu bonn yi te doo dajale ay done yu bees ci wàllu kaaraange.
Di dindi benn 'toxisite' vecteur liggéey ci diisaayu benn model ngir wàññi génne yu bonn yi te duñu dajale ay done yu bees ci wàllu kaaraange. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bi.
Model boole ci jëf
boole ay adaptatëri LoRA yuñ tàggat ci xeeti bind yu wuute ci benn model bu mëna soppi ton ci anam wu yomb.
boole ay adaptatëri LoRA yu bari yuñ tàggat ci xeeti bind yu wuute ci benn model bu mëna soppi ton Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir mbir yu am solo, ba noppi topp njariñu produit ak njëgu njuumte ci diir bu gàtt.
Risk yi ak balustrade yi
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.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.