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Izindaba ze-AI.Ngaphandle komsindo.

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Ingobo yomlando yezindaba ze-AI — Ikhasi 151

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Source-provided image accompanying Paper Proposes Grading AI Security Agents Without Labels by Measuring Convergence to a Stronger ModelIndaba ephezulu
Ukuqamba7 min funda
Ukuqamba7 min funda

Iphepha Liphakamisa Ukulinganisa Ama-ejenti Okuphepha e-AI Ngaphandle Kwamalebula Ngokulinganisa Ukuhlangana Kumodeli Eqinile

I-arXiv preprint entsha ithi amaqembu ezokuphepha angakwazi ukwahlulela ukuthi i-ejenti ye-AI ehlome ngenkumbulo noma ukubuyisa ifunda ngokulinganisa ukuthi ilivala kude kangakanani igebe kumodeli "yothisha" eqinile, kunakumabhentshimakhi alebulwe ngokuvamile ayindlala noma amadala. Ukwahlulela ngemodeli enamandla afanayo akunikanga uphawu olusebenzisekayo.

Funda indaba Umthombo oqinisekisiwe: arxiv.org

Izindaba ezengeziwe

9 izindaba
  1. Ukuqamba7 min funda

    Iphepha Lithola Izendlalelo Zasemuva Zemodeli Yengxubevange Yochwepheshe Libekezelela Ukufihla ubuso Kwengcweti Okusindayo

    Ukuphrinta ngaphambilini kubika ukuthi ukukhubaza ochwepheshe bezinga eliphansi kuzingqimba ezinhlanu zokugcina zemodeli ye-Mixture-of-Experts yezigidigidi ezingu-35 kulondoloze imiphumela esebenziseka kakhulu yokuhumusha ikhodi kunokusabalalisa ukusikeka okufanayo kuzo zonke izendlalelo. Ifaka imodeli eyodwa kanye nebhentshimakhi eyodwa, futhi umbiko ongabonakali ubika ukuthi akukho sisekelo esingafihliwe.

    arxiv.org
  5. Ukuqamba7 min funda

    I-Benchmark Entsha Ithola Abenzeli Be-AI Bavimbe Ngokungafanele Umsebenzi Ovunyelwe U-28% Wesikhathi

    Ukuphrinta ngaphambili kwethula i-SteerBench-Work, ukuhlolwa kwe-106-scenario yalapho umenzeli we-AI enquma ukwenza noma ukumisa isikhashana ukuze kubuyekezwe. Kuzo zonke izimo ezingamamodeli angama-30, ababhali babika ukuthi ukubamba umsebenzi osuliwe ngokungalungile cishe kwakuvamile izikhathi ezingama-28 kunokuvumela umsebenzi ongaphephile ngokungalungile.

    arxiv.org
  7. Ukuqamba7 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.

    arxiv.org
  8. Ukuphepha7 min funda

    Iphepha Lithi Abasebenzeli Be-AI abazithuthukisayo Bangaguqula Impumelelo Eyodwa Engaphephile Ibe Ikhono Elisebenziseka Kabusha

    I-arXiv preprint entsha ikhombisa imodi ethile yokwehluleka kwe-ejenti: lapho umenzeli ozithuthukisayo ebhala inqubo engaphephile enkumbulweni, ingabuyiswa futhi isetshenziswe kumaseshini akamuva. Konke ukulungiselelwa okuthuthukisiwe okuhloliwe kukhiqize ama-artifact angaphephile, kanye nemisebenzi emithathu enonya engaphezu kokuphindwe kabili kokuphumelela kokuhlasela kwe-carryover.

    arxiv.org
  9. Ukuphepha6 min funda

    Iphepha le-SEAG Liphakamisa Izinkampani Ezizwelayo Zokwehlukanisa Ngaphambi Kokuba Imibuzo Ye-RAG Ifinyelele Kuma-LLM Angaphandle

    Iphrinta ethunyelwe ku-arXiv ichaza uhlaka olushintshanisa amagama abucayi emibuzweni futhi libuyise amadokhumenti eziteketiso ngaphambi kokuwathumela kumodeli yenkampani yangaphandle. Ababhali babika ukunemba okungaphezu kuka-80% kumethrikhi yabo yabasebenzisi abavela ekupheleni ukuya ekupheleni, namazinga okufihla okugcwele aphakathi kuka-74.91% no-77.83% kuwo wonke amamodeli amancane amathathu.

    arxiv.org

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