njaxasu kàngam yi ci LoRA
Njaxasu LoRA Experts (MoLE) dafa boole adaptatër yu ndaw yu bari, yu yomb te ñu tàggat ak routeur buñ jàng, suko defee benn modelu base mëna tànn ci liggéey, stil, wala xam-xam.
Résumé
It matters because it brings the modularity of Mixture-of-Experts to fine-tuning without retraining huge networks.
Plongeur bu xóot
LoRA (Adaptation Low-Rank) dafay gelé diisaayu model biñ tàggat bu njëkk ba noppi di tàggat ay matris yu ndaw yu rang yu woyof yuy nuddal jikkoom, def ajustement bu yomb. Mixture of LoRA Experts dafay tàggat adaptatër yu bari yu mel noonu, bu nekk di jàpp mën-mën bu wuute, domen, wala konsept bu wuute, ba noppi yokk benn reso gating bu ndaw buy tànn ban adaptatër lañu wara aktive (ak ni ñu koy defee) ngir benn dugal. Lu moy benn fine-tune monolithique, am nga bibliotek bu bari ay kàngam yuñ mëna defar. Routeur bi mën na boole ay kàngam ci couche bu nekk ak ci token bu nekk, kon laaj kodage mën na génne adaptatëru Python ci jamono ji laaj jaar-jaar di génne benn nettali. Loolu dina moytu jaxasoo ak fàtte ni mbas mi dafay tàggat benn adaptatër ci liggéey yu bari yu wuute benn yoon, ba noppi may ekip yi ñu yokk wala dindi ay spesialisasioŋ te duñu laal yaxu ndigg li.
Gis-gis xarala
Ekspeer LoRA bu nekk dafay dugal delta W = B * A, fu A ak B matris yu rang yu woyof lañu (rang yu bari dañuy nekk 4-64). Fonction gating dafay defar ay poid ci kaw expert yi, ba noppi ñu boole ay génn ci benn somme pondéré (jaxas bu woyof) wala tànneef top-k (routing bu néew). Li gëna am solo mooy diisaayu base bi dafay des ci gelé, moo tax adaptatër yi ak routeur yi kese lañuy tàggat. Ci misaali nataali diffusion, gating hierarchical dafay jàng poids bu nekk ci concept LoRAs yu bari te kenn ci ñoom du ëpp doole ñeneen ñi.
njeextalu pexe
Njëgg ak budget
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
dogal yu gëna leer
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Xool kalite
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Ëlëgu njaxasu kàngam yi ci LoRA
Xaarandi marse adaptatër yu model yi di sarse askanu LoRA eksper yi ci laaj, boole ci routeurs yiy gis seen bopp eksper yi liggéey bi soxla ci waxtu inference. Gëstu mingi puus ci composition jàng buy saafara jafe-jafe yi am ci digganté adaptatër yi, xaaj rang dynamique ci expert bu nekk, ak boole MoLE ak modelu base bu néew MoE ngir specialisation bu am ñaari niveau. Deployment ci aparey bi ak ci catu aparey bi mooy gëna am njariñ, ndax weccoo adaptatëru megabyte yu néew moo gëna xéewale yónnee model yu bees yu mat.
Doxal ci àdduna dëgg
Jàppalekatu kode buy jaar ci diggante kàngam LoRA yu wuute ngir Python, SQL, ak Rust lépp di aju ci dosiye bi wala laaj bi, moytu jaxasoo ci diggante làkk yu bari.
Jëfandikukati Diffusion Stable yi dañuy boole ay LoRA yu bari ak stil ak benn couche gating suko defee nataal bi mën tëye kanam gu amul benn melo wala detay bu amul benn melo.
Ab chatbot enterprise buy yab adaptatëru departemaa bu nekk (legal, HR, finans) ci benn modelu base bu liw, di leen weccoo te duñu leen indiwaat.
Benn xeetu jàppale ci làkk yu bari, ak benn kàngam ci LoRA ci làkk bu nekk, ñu koy yóbbu ci làkk wiñ dugal ngir mëna wéy di wax bu baax làkk bu nekk.
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.
Benchmark ci biir sargal ak done yu dëggu.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
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Gis bi ci topp
njaxasu kàngam
Laaj yi ñuy faral di laaj
What is Mixture of LoRA Experts?
Njaxasu LoRA Experts (MoLE) dafa boole adaptatër yu ndaw yu bari, yu yomb te ñu tàggat ak routeur buñ jàng, suko defee benn modelu base mëna tànn ci liggéey, stil, wala xam-xam. Dafa am solo ndax dafay indi modularite bu Mixture-of-Experts ci fine-tuning te du tàggataat reso yu mag yi.
Lan mooy wàllu 'LoRA' ci njaxasu kàngam yi ci LoRA?
LoRA mooy Low-Rank Adaptation: dafay gelé modelu base bi ba noppi di tàggat matris yu ndaw yu kompact yuy yamale doxalin ci anam wu yomb.
Lan mooy liggéeyu reso gating/routeur ci MoLE?
Routeur bi dafay defar ay poid ci kaw kàngam LoRA yi jàppandi, di leen tànnee ba noppi jaxase leen ci dugal bu nekk (ak lu bari ci layer bu nekk wala token bu nekk).
Lan moo waral MoLE di gëna baax tàggat benn adaptatër ci liggéey yu bari te wuute?
Ekspeer yu wuute yi moytu nañu fàtte ak jafe-jafe liggéey yiy am su benn adaptër wara jàng mbir yu bari yuy xëccoo benn yoon.
Bu ñuy tàggat MoLE, lan mooy xew ci diisaay yiñ tàggat bu njëkk ci modelu base bi?
Yaxu ndigg li dafay des melni liw; Expert LoRA yu ndaw yi ak reso gating yi kese ñooy am yeesali gradient yi.
Ci misaali nataali diffusion, ban jafe-jafe la gating hierarchique/per-couche ci MoLE di jàppale ci saafara?
Per-layer gating dafay jàng ni adaptatër bu nekk di jàppale ci layer bu nekk, bàyyi LoRA yu bari ñu boole seen bopp te kenn du ci ëpp doole.