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Izindaba ze-AI. Ngaphandle komsindo.

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Ingobo yomlando yezindaba

Ingobo yomlando yezindaba ze-AI — Ikhasi 167

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

Source-page capture accompanying Paper Argues Evolution Strategies Beat RL at Keeping LLM Answer Sets DiverseIndaba ephezuluUkuqamba7 min funda

Iphepha Liphikisa Amasu Okuzivelela Kwehlula i-RL Ekugcineni Impendulo ye-LLM Isetha Okuhlukahlukene

I-arXiv preprint entsha ithi ama-LLM angemuva kokuqeqeshwa anamasu okuziphendukela kwemvelo - indlela esekelwe kubantu, engenawo ama-gradient ephazamisa izisindo ngokuqondile - yehlula ukufunda okuqinisiwe ku-pass@k kanye nokufakwa kwesixazululo. I-abstract icaphuna imiphumela engcono ye-math-benchmark kodwa amagama awekho amamodeli, ama-benchmarks, noma izinombolo.Funda indabaUmthombo oqinisekisiwe: arxiv.org

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Uma isignali incane, asishicileli lutho kunokupheqa okuphakelayo.

Izindaba ezengeziwe

9 izindaba
  1. UkuqambaUkuqamba6 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.arxiv.org
  2. UkuqambaUkuqamba6 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
  3. UkuqambaUkuqamba7 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
  4. InqubomgomoInqubomgomo6 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
  5. UkuqambaUkuqamba6 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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