Résumé
BentoML benn kaadaru Python la bu ubbeeku, muy boole ay xeeti jàngu masin yuñ tàggat ci ay yunit yuñ mëna jëfandikoo, ñu tuddee ko 'Bentos'. Dafay dindi bërëb bi nekk ci digganté ab model bu toog ci benn kaye ak ab sarwiisu defar bu mëna def ay wax luy waaja am ci benn API.
BentoML ak Model Packaging ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci escalier bi.
Plongeur bu xóot
Su gëstukat bi jeexalee ci tàggat benn model, dugal ko ci liggéey dafay faral di tekki bind kodu serwiis ak loxo, pinning dependency, tabax nataalu Docker, ak wiring API. BentoML dafay otomatise lii. Yaa ngi denc benn model ci magasin model bi ci dëkk bi, ba noppi nga joxe benn klaasu Serwiis bu am poñ API buñ defar ngir mëna jëfandikoo inference. Komànd 'bentoml build' dafay boole model bi, sa kodu Python, xeetu dependence yi, ak tabb runtime ci benn Bento bu nekk ci boppam, buñ joxe xeetu Bento. Foofu 'bentoml conteneriser' defar nataalu OCI Docker. BentoML dafay jàppale daanaka bépp kaadar (PyTorch, TensorFlow, scikit-jàng, XGBoost, Transformatëri kanam yuy laxasu, ONNX) ba noppi yokk ay micro-batching yuy méngoo, yuy boole laaj yiy dugg ci saasi ngir yokk GPU bi te doo soppi sa kode.
Gis-gis xarala
BentoML dafay tàqale 'Runners' (xeetu jëfandikoo model bu diis) ak logiku serwëru API. Runners mën nañu scale seen bopp ba noppi daw ci seeni processus liggéeykat, ci noonu la serveur HTTP/gRPC bu woyof bi di yoree routing ak I/O. Batching bimu àndal dafay méngale dayo batch bi ak palanteer bu latency bi ci runtime bi, suko defee mu mëna xëcci trafik bi ba noppi di tëye accelerator yu seer yi. Format Bento biñ yamale dafay boole ay manifest, ay fichier model, ak environmaa buñ mëna defaraat, loolu mooy tax defar yi nekk ci masin yi.
BentoML ak model emballage
BentoML benn kaadaru Python la bu ubbeeku, muy boole ay xeeti jàngu masin yuñ tàggat ci ay yunit yuñ mëna jëfandikoo, ñu tuddee ko 'Bentos'. Dafay dindi bërëb bi nekk ci digganté ab model bu toog ci benn kaye ak ab sarwiisu defar bu mëna def ay wax luy waaja am ci benn API. BentoML ak Model Packaging ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci escalier bi. Ngir tabax xam-xam bu xóot, jàppal BentoML ak Model Packaging ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ak 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 BentoML ak Model Packaging 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
Ekipu gis-gis njuuj njaaj dafay denc benn xeetu XGBoost ci bitik BentoML ba noppi tabax benn Bento buy wane / predict REST endpoint ngir serwiisu fayukaay yi woo ci jamono dëgg.
Benn ekipu platform ML dafay jëfandikoo 'bentoml contenerize' ngir soppi xeetu yëg-yëgu kanam buy laxasu ci nataalu Docker buy dugal ci seen cluster Kubernetes bi ci biir.
Benn startup dafay liggéey ci xeetu Llama buñ defar bu baax ak OpenLLM (ñu tabax ci kaw BentoML), di joxe ay token ci interfaasu jëfandikukat buy waxtaan ak batching buy méngoo ak GPU bi.
Benn kompiñi buy xool ci ordinatër dafay boole benn xeetu nataalu PyTorch ak gasoduk preprocessing bi ci benn Bento suko defee ñu mëna soppi gaal gi gëna jubal ci tàggat gaal gi ak model bi.
Modèlu jëfandikoo
BentoML ak xeetu emballage ci jëf
Ekipu gis-gis njuuj njaaj dafay denc benn xeetu XGBoost ci bitik BentoML ba noppi tabax benn Bento buy wane / predict REST endpoint ngir serwiisu fayukaay yi woo ci jamono dëgg.
Ekip biy gis njuuj njaaj dafay denc benn xeetu XGBoost ci butig BentoML ba noppi tabax benn Bento buy wane / predict REST endpoint ngir sarwiisu fayukaay yi ngir woo ci jamono dëgg.
BentoML ak xeetu emballage ci jëf
Benn ekipu platform ML dafay jëfandikoo 'bentoml contenerize' ngir soppi xeetu yëg-yëgu kanam buy laxasu ci nataalu Docker buy dugal ci seen cluster Kubernetes bi ci biir.
Benn ekipu platform ML dafay jëfandikoo 'bentoml containerize' ngir soppi xeetu yëg-yëgu Hugging Face ci nataalu Docker biy dugal ci seen cluster Kubernetes bi ci biir.
BentoML ak xeetu emballage ci jëf
Benn startup dafay liggéey ci xeetu Llama buñ defar bu baax ak OpenLLM (ñu tabax ci kaw BentoML), di joxe ay token ci interfaasu jëfandikukat buy waxtaan ak batching buy méngoo ak GPU bi.
Benn startup dafay liggéey ci xeetu Llama buñ defar bu baax ak OpenLLM (tabax ci BentoML), di streaming tokens ci chat UI ak batching adaptif di tëye GPU bi.
BentoML ak xeetu emballage ci jëf
Benn kompiñi buy xool ci ordinatër dafay boole benn xeetu nataalu PyTorch ak gasoduk preprocessing bi ci benn Bento suko defee ñu mëna soppi gaal gi gëna jubal ci tàggat gaal gi ak model bi.
Benn kompiñi buy xool ci ordinatër dafay ëmb benn PyTorch image classifier ak pipeline preprocessing bi ci benn Bento suko defee coppite yi ñuy jëfandikoo ci gaal gi ñuy tàggat ak model Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir produit error cases, ak topp e both time.
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.