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Izindaba ze-AI. Ngaphandle komsindo.
Ukufakwa kwe-AI ehlolwe ngomthombo yokwethulwa komkhiqizo, ukushintshwa kwenqubomgomo, ucwaningo lwezokuphepha, nomnyakazo womkhakha, okuchazwe ngesiNgisi esilula ithimba lezemfundo elingenzi nzuzo.
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Ingobo yomlando yezindaba ze-AI — Ikhasi 198
Izindaba ze-AI ezihlolwe ngumthombo, ezintsha kakhulu kuqala, zabantu abadinga ukuqonda i-AI ngaphandle kokujaha i-hype.
Ukuthola umthombo oqinisekisiwe
Yonke indaba ixhuma ebufakazini obunamandla obutholakalayo: imithombo yoqobo uma itholakala, ngenye indlela ukubika okuchasiselwe ngokucacile.
IsiNgisi esilula
Kwenzekeni, kungani kubalulekile, nokuthi yini okufanele uyibuke - ngaphandle kwejagoni.
Asikho isigcwalisi
Uma isignali incane, asishicileli lutho kunokupheqa okuphakelayo.
Izindaba ezengeziwe
9 izindabaUkuqamba
Ukuhlola Ukusebenza Kwekhono Lomenzeli we-AI nge-NVIDIA SkillEvaluator
I-NVIDIA SkillEvaluator ikala umthelela wamakhono aqinisekisiwe ekusebenzeni komenzeli we-AI ngenqubo yokuhlola yezigaba ezintathu.
developer.nvidia.comUkuqamba
Iphepha Lethula "Ukuhlolwa Kwethunzi": Ama-AI Agents Enze Ubunjiniyela Kodwa Ahluleka Imibuzo Emibili Yocwaningo
Iphrinta yababhali abangama-24 yayinabenzeli be-AI basemngceleni bazama imibuzo yocwaningo emaphakathi kwezethulo ezimbili ezingashicilelwe ze-NeurIPS 2026, kwase kuba nababhali bamaphepha abahlela imiphumela. Ama-ejenti aphathe ubunjiniyela ngaphandle kokusizwa izinsuku eziyisithupha kodwa anqatshwa ngokusobala ocwaningweni.arxiv.orgUmkhiqizo
I-Warp Ivula Ukufinyelela Kwangaphambi kwesikhathi "Kumafekthri," i-Config-as-Code System ye-Running Fleets yama-Coding Agents
I-Warp ithatha izicelo zokufinyelela kusenesikhathi ze-Warp Factories, echaza inqwaba yama-ejenti okubhala amakhodi njengekhodi - ama-repos, amamodeli, izimvume nezindawo zokuhlola abantu kufayela elilodwa le-YAML, elishayelwa i-CLI, i-API, i-SDK ne-MCP. Izibalo zayo ezizenzakalelayo nezindleko ziyizimangalo zomthengisi: awekho amanani, usuku lokutholakala okuvamile noma ukuhlola okuzimele.warp.devUkuqamba
I-Benchmark Ithi Amamodeli Aphezulu Amamodeli Aphezulu Athola Ngaphansi Kwe-10% Ekufundeni Amagama Asuka Emisindweni Yepeni Nokunyakaza Kwesandla
Iphepha elisha le-arXiv lethula ukuhlolwa lapho amamodeli kumele abhale khona amagama avela kumsindo wepeni kanye nevidiyo yokunyakaza kwesandla, kungabikho uyinki obonakalayo. Ababhali babika abantu abangaphezu kuka-80% ngokunemba kwezinhlamvu ezi-odiwe kanye namamodeli aholayo angaphansi kuka-10% - nokuthi ukunikeza amamodeli zombili izindlela ngokuvamile kwenza imiphumela ibe mibi kakhulu.arxiv.orgUkuqamba
Iphepha Lithi Ukuphathwa Kwenqolobane Ye-Agent-Aware Kusika Ukubambezeleka Kophawu Lokuqala Kufike ku-45% Ekusebenzeni kwama-Agent amaningi
I-arXiv preprint entsha ichaza i-CacheScout, isendlalelo esakhelwe kuseva ye-vLLM yomthombo ovulekile esinquma ukuthi yini okufanele igcinwe kunqolobane yenani lokhiye wemodeli ngokusekelwe ekutheni iyiphi i-ejenti okungenzeka isebenze ngokulandelayo. Ababhali babika ukubambezeleka okunamadijithi amabili kanye nezinzuzo zokuphumelela; Umthwalo wemisebenzi, amamodeli, nehadiwe akushiwongo ku-abstract.arxiv.orgUkuqamba
Ukuhlolwa kobufakazi OpenAI Obukhiqizwe Nge-AI Kuthola Isimo Esihlehlisiwe, Futhi Kushicilele Ukulungiswa
Abacwaningi ababili bathi ubufakazi be-lemma eSahlukweni 6 se-OpenAI sombhalo wezibalo bunephutha le-polarity: ukuhlolwa ngokwesilinganiso sempumelelo lapho isinyathelo esilandelayo sidinga ukwehluleka okukhulu okunemibandela. Banikeza isibonelo esiphikisayo kanye nobufakazi obulungisiwe, futhi baxwayisa ngokuthi lokhu akukona ukuqinisekiswa kwemfundiso eyinhloko yesahluko.arxiv.orgUkuqamba
I-Replication Study ithi i-FLOPs Isenemipredict AI Runtime, futhi Ukulungiswa Okuhlongozwayo Kwehlulekile Ku-Hardware Entsha
Ukuphrinta ngaphambili kwabacwaningi ababili kukhiqiza kabusha ucwaningo lwangaphambili lokuthi kungani izibalo ze-FLOP ezilinganayo zingasho isikhathi sokwenza esilinganayo. Iqinisekisa isimangalo esiwumsuka kodwa ibika ukuthi ifomula yokulungisa ye-α-FLOPs ngokuvamile ibukela phansi isikhathi sokusebenza kuzingxenyekazi zekhompuyutha ezintsha, okubonisa ukweqa nokuzulazula kwefomula engakuthwebuli.arxiv.orgIbhizinisi
I-Benchmark Paper Ithola Izindlela Ezine Zokubuza Ngedatha Yebhizinisi Ngama-LLM Wonke Athola Ngaphansi Kwama-26%
I-arXiv preprint entsha ihlanganisa izakhiwo ezine zokubuza ngolimi lwemvelo lwesizindalwazi sebhizinisi ngokumelene nebhentshimakhi yokwenziwa yezilimi ezimbili. Alikho eliphendule ngaphezu kwekota yamacala ngendlela efanele, futhi idizayini ethole amaphuzu aphezulu bekungeyona ephephe kakhulu noma eshibhe kakhulu.arxiv.orgUkuqamba
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.arxiv.org
Ukwaziswa okukodwa okuwusizo isonto ngalinye
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Thola izindaba ze-AI eziqinisekisiwe zeviki, idatha yoqobo, amathuluzi awusizo, ukukhetha okufundayo, nemisebenzi emisha ye-AI.
Finyelela abantu abafunda i-AI
Ukuqasha uchwepheshe we-AI noma ukwethula umkhiqizo owusizo we-AI? Yibeke phambi kwabantu abeze lapha ukuzofunda nokwenza.
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