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Izindaba ze-AI.Ngaphandle komsindo.

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Ingobo yomlando yezindaba

Ingobo yomlando yezindaba ze-AI — Ikhasi 153

Izindaba ze-AI ezihlolwe ngumthombo, ezintsha kakhulu kuqala, zabantu abadinga ukuqonda i-AI ngaphandle kokujaha i-hype.

Source-provided image accompanying CABS+ Paper Reports Cheaper, Faster Model Merging Across 27 DatasetsIndaba ephezulu
Ukuqamba6 min funda
Ukuqamba6 min funda

I-CABS+ Ibika Iphepha Lishibhile, Imodeli Esheshayo Ihlanganisa Kuwo wonke Amasethi edatha angama-27

Ukuphrinta kusengaphambili okuthunyelwe ku-arXiv kuchaza i-CABS+, indlela yokuhlanganisa imodeli ethatha indawo yokusesha kwegridi ngosesho lwe-coefficient olungenayo i-gradient. Ababhali babika izinzuzo zokusebenza okunamadijithi amabili ngaphezulu kwezisekelo ezimbili, ngaphansi kwekota yememori ye-GPU yesisekelo esisodwa, kanye nokusheshisa okungu-4x ngaphezu kwenye.

Funda indaba Umthombo oqinisekisiwe: arxiv.org
Ukuqamba6 min funda

Iphepha Liphakamisa "Izifundo" Ezibuyisiwe Zokuthuthukisa Ukubonisana Kwendawo Kumamodeli Afriziwe Ombono Wolimi

I-arXiv preprint ichaza i-Spatial Memory Agent, egcina ulwazi oluqinisekisiwe njengezifundo zombhalo ezitholwa ngesikhathi sokubikezela, ifuna izinzuzo kuwo wonke ama-benchmarks wendawo namamodeli amane olimi lombono ngaphandle kokushintsha izisindo zemodeli. Iyabuyekezwa; amagama ayo angabonakali awekho amabhentshimakhi, amamodeli ayisisekelo, noma amamajini.

arxiv.org
Ukuqamba7 min funda

I-PROVE-RT Paper Reports 44.7% Impumelelo Yokukhiqiza Ubufakazi Besikhathi Sangempela Ohlolwe Umshini

I-arXiv preprint yethula i-PROVE-RT, esebenzisa ukubuyisa kanye nokwazisa okufakwe kusiteji ukwenza amamodeli amakhulu olimi abhale imibhalo yobufakazi ye-PROSA/ROCQ yokuhlaziya ukuhlelwa kwesikhathi sangempela. Ababhali babika izinga lempumelelo elingu-44.7% kusethi yokuhlola ekhethiwe, lapho ukwaziswa okuqondile kwehluleka ukukhiqiza ngokuthembekile imishini evumelekile.

arxiv.org

Izindaba ezengeziwe

6 izindaba
  1. Inqubomgomo6 min funda

    Iphepha Lokusebenza Libuza Ukuthi Ingabe Umthetho Wabathengi WaseNdiya Ungakhava Ukulimala Kwe-AI

    Iphepha elisha lokusebenza le-arXiv lithi uMthetho Wokuvikelwa Kwabathengi waseNdiya, ka-2019 ubanzi ngokwanele ukuze ufinyelele ekulimaleni okuhlobene ne-AI, kodwa lokho kufakazela imbangela kanye nokubeka icala kulo lonke uchungechunge lokuhlinzekwa kwe-AI kuhlala kungakaxazululwa. I-abstract kuphela efingqiwe esidlangalaleni lapha; iphepha alibuyekeziwe kontanga.

    arxiv.org
  2. Ukuqamba6 min funda

    I-Apple Paper Iphakamisa Ukungafundi Ngomshini Oshibhile Ngokweqa Idatha Enethonya Eliphansi

    Iphepha le-Apple Machine Learning Research lithi akuwona wonke amaphoyinti edatha esicelweni sokususa adinga ukususwa okusebenzayo. Ngokusebenzisa imisebenzi yethonya kuyo yonke imisebenzi yolimi neyombono, ababhali bathi izibonelo ezinethonya eliphansi zingasuswa kusethi yokukhohlwa, kunqandwe ikhompuyutha yokungafundi ngamaphesenti angaba ngu-50.

    machinelearning.apple.com

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