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Wéyal tàggat yaram ak ajustement bu baax
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Modèlu embedding yu baax ngir am
Fine-tuning model embedding mooy tàggat ko ci ñaari laaj yu dëggu ak këyitu tontu yi leen, suko defee ci sa domen mbind mi am solo gëna jegewaale ci espace vecteur bi moo gën mbind mi amul njariñ.
Ci xët wii4 simili jàng
Résumé
Dafa am solo ndax kalite seetlu dafay tënk kalite RAG: sudee seetluwul passage bu dëggu bi, modelu làkk bi mënul ko jëfandikoo, te embeddings yu bari yi dañuy faral di ñàkk vocabulaire domen, abreviations ak ni say jëfandikukat di phrase laaj yi.
Plongeur bu xóot
Benn xeetu samp dafay soppi mbind mu nekk vecteur suko defee mbind yu nuru ci semantik ñu am vecteur yu nuru, ñu koy faral di natt ci nuru cosine. Ci RAG, laaj yi ak dokimaa yi dañu leen samp, ba noppi ñuy jël dokimaa yi gëna jege. Royuwaayi général yi dañu leen tàggat ci web bu yaatu ak ci done laaj ak tontu. Dañuy dox bu baax fépp waaye mën nañu am jafe-jafe ci ay terme yuñ jagleel, tur yi ci biir produit yi, ak bërëb bi am ci digganté ni jëfandikukat bi di laaje ak ni ñuy bindee benn këyit. Fine-tuning dafay tëj bërëb bi ak done tàggat ci ñatti anam. Peer positif mooy ab laaj ak ab passage bu koy tontu. Negatif yi ci biir batch yi dañuy jëfandikoo yeneen paas yi ci benn batch bi ñuy tàggat ngir wane li wara am poñ yu néew. Negatif yu dëgër yi ñooy pàcc yi nuru lu am solo, di séddoo kàddu wala topic, waaye tontu wuñu laaj bi. Negatif yu dëgër yi dañuy jàngale wuute yu baax yi gëna am solo, ndax negatif yu yomb yi modelu base bi moo leen tàqale bu njëkk. Boroom done yu baax yi ñooy journal seetlu ak klike, këyit ndimbal yu lëkkale ak article yi, xëti FAQ yi, ak laajte yuñ defaree ci sa këyit ci xeetu làkk. Done yiñ defar dañu am njariñ waaye dañu leen wara segg, ndax laaj yiñ defar dañuy faral di koppi kàddu yi ci këyit bi, ba noppi yombal liggéey bi lool. Li ñuy faral di juum mooy fine-tuning mooy li njëkk ci saafara yu baaxul yi. Dafay faral di gëna xéewale, yokk seetug baatu-caabi bu melni BM25 ci tabb hybrid, wala yokk reranker dafay joxe ngëneel yu gëna mag ak coono bu néew. Fine-tuning mooy gëna am njariñ sudee natt nga benn gap retrieval ba noppi nga am wala nga mëna tabax lu mu neew ay junni peer yu baax. Beneen fiir bi mooy njuumte negatif: negatif bu dëgër buñ mine buy tontu laaj bi. Taggat model bi mu dàq ko dafay yàq kalite bi. Ngeen bàyyi xel itam ni, soo bëggee soppi xeetu samp gi, fàww nga sampwaat dokimaa yépp ndax vecteur yu yàgg yi ak yu bees yi mënu jubboo.
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 modelu embedding yu baax ngir am
Modèlu embedding général dafay wéy di yokk ci benchmark publik yu melni MTEB, luy wàññi waaye du dindi njariñu adaptaasioŋ domen, ndax done benchmark yi bari wuñu luñuy méngoo ak corpus privé. Defar ay done yuñ boole ak ay misaali làkk taxna ba ekip yi amul ay done yu bari yuñ etikete, mën nañu ko jëfandikoo. Xaarandi wéyal jëfandikoo pipeline hybrid fu modelu embedding buñ defar bu baax di jëflante ak etape bu njëkk bi ñuy woowaat ak reranker di jëflante ak njub. Xeetu natt bi moo gëna am solo: ekip yiy toppu fàttaliku ci laaj yu dëggu yi dina ñu xam kañ la fine-tuning di fay.
Doxal ci àdduna dëgg
Benn kompiñi assurance dafay tàggat ay embeddings ci ñaari laaji kiliyaan yi ak sàrti poliis yi leen di tontu, kon 'ndax sama telefon dafay muur su ma ko daaneel' dafay jël sàrtu yàqu-yàqu bu jaarul yoon.
Benn kompiñi losisel dafay jëfandikoo jaar-jaaru tiketu ndimbal, boole laaj bu tiketu bu nekk ak ndawu xëtu ndimbal biñ lëkkale ci seen tontu, muy done tàggat yaram bu amul fayda.
Benn ekipu gëstukat ci wàllu yoon dafay mine negatif yu dëgër yi ci jël klawusul yu bokk baatu-caabi ak laaj bi waaye di wax ci beneen jurisdiction, di jàngal model bi leen tàqale.
Benn ekipu farmasi dafay defar ay laaj yuñ defaree ay këyitu interne yu am modelu làkk, segg yi baaxul, ba noppi jëfandikoo ñaar ñi ngir tàggat modelu embedding domen.
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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Laaj yi ñuy faral di laaj
Luy Modelu Embedding Fine-Tuning ngir Recuperation?
Fine-tuning model embedding mooy tàggat ko ci ñaari laaj yu dëggu ak këyitu tontu yi leen, suko defee ci sa domen mbind mi am solo gëna jegewaale ci espace vecteur bi moo gën mbind mi amul njariñ. Dafa am solo ndax kalite seetlu dafay tënk kalite RAG: sudee seetluwul passage bu dëggu bi, modelu làkk bi mënul ko jëfandikoo, te embeddings yu bari yi dañuy faral di ñàkk vocabulaire domen, abreviations ak ni say jëfandikukat di phrase laaj yi.
Lan mooy negatif bu dëgër ci samp fine-tuning?
Negatif yu dëgër yi bokk nañu ay baat wala topic ak laaj bi waaye duñu jub, di jàngal xeetu wuute bu baax.
Lan moo waral negatif yu dëgër yi gëna am njariñ negatif yu yomb yi?
Negatif yu yomb yi sori nañu lool ci laaj bi; negatif yu dëgër yi forse model bi mu jàng wuute yu ndaw.
Luy njuumte ci mbir mii?
Sudee tontu bu baaxul bi dafa am solo, tàggat yaram dafay dàq tontu bu dëggu bi ba noppi di gaañ tontu bu jaar yoon.
Ban perte lañuy faral di jëfandikoo ngir tàggat xeetu embedding ci ñaari laaj-paas?
Perte yu wuute yi dañuy am poñ yu baax ci wàllu in-batch ak negatif yu dëgër, di push positif yi ci kaw.
Ginaaw boo soppi ci xeetu embedding bu bees, lan ngay def ci sa index dokimaa?
Vecteur yu bawoo ci model yu wuute mënoo leen méngale, kon dañu wara boolewaat collection bi yépp.
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