Dañu koy yeesal bis bu nekk3929 jaar-jaar yuñ firnde
Xibaar AI. Bu amul xumbaay.
IA buñu saytu bu baax ci lu jëm ci genne ay fasoŋu porodiwi, coppite ci politik, gestu ci kaaraange, ak toxu usine yi, ap ekipu njang buy def te Yàlla tax moo ko leeral ci Àngle bu leer.
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Bépp jaar-jaar dafay lëkkale ak firnde yi gëna am doole: balluwaay yu njëkk yi suñu ko amee, luko moy rapoor yuñ joxe ci anam wu leer.
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Yeneen jaar-jaar
9 jaar-jaarYeesal
Gëstukat yi yokk nañu benn lalu kantite ngir dindi jafe-jafe radio yi lalu ci IA
Benn këyit bu bees bu arXiv dafay fësal benn sistem IA buy boole benn transformatër buy dellu ginaaw ak benn tokenisatëru Kantite Skalar Finit ngir dindi jafe-jafe yi am ci fréquence radio. Auteur yi dañu wax ni latency bi gëna ndaw ak bañ interference bi gëna am doole ci anam yu yàgg yi ak yi njëkka am ci IA, waaye joxe wuñu...arxiv.orgYeesal
Këyit dafay digle dagg bu yomb ngir modelu Transformer yi ci diiru ajustement bu baax
REP-LIE dafay xayma ban diisaayu Transformatër lañu wara dindi ci jëfandikoo gradient yu bawoo ci matrix LoRA yu rang bu woyof, ngir wàññi jumtukaay yiñ soxla ngir dagg model bi ak defar ko bu baax.arxiv.orgYeesal
Jàngat bi dafa wane ni surrogat reso neuronal yi di gëna mëna jëfandikoo
Benn preprint bu bees bu arXiv dafa wax ni surrogate reso neuronal yi dañuy jàppale ci optimisation sudee dañu jàppale tànneef ci kàndidaa yi ci biir dëkkandoo yu yam yi, ba noppi bàyyi mecanisme bi ñuy nangu ci suufa suuf.arxiv.orgYeesal
AFDBench dafay saytu ndax IA mën na bind waxtaanu Serwiisu Meteo bu Réew mi ci done meteo yi
Ap preprint bu bees dugalna AFDBench, ap royukaay ngir natt ndax ay xeetu lakk munnañu soppi meteo bu juntuwaay yu bees yi ci ay waxtaan yu Sarwiisu Jawu bu kawe bi bind ci anam wu xarañ.arxiv.orgYeesal
Preprint explains what reinforcement learning changes inside language models
A new preprint breaks down reinforcement-learning post-training for language models, examining how rewards, prompts, model scale and prior behavior shape the results.arxiv.orgYeesal
MacroAgent dafay jëfandikoo ay gis-gis yuñ defaree LLM ngir gëna mëna legalise macro chip
Benn impression bu arXiv dafay fësal MacroAgent, muy benn kaada bu am ñeenti etap buy jëfandikoo modeli làkk yu yaatu ngir gis algorithm yu contour ngir dajale ay komponenti sircuit yu yaatu. Auteur yi dañu wax ni dafa gëna yombal jëmmal, gëna gàtt guddaayi fiil yi ak njariñ yu gëna baax ci jàngat TILOS, Chipyard ak Cadence Innovus.arxiv.orgYeesal
Këyit dafay laaj joxe graf wala làkk buy méngoo ak LLM yu bari ay ndawu liggéey
Routed Graph Handoff dafay jëfandikoo ab routeur modelu làkk bu woyof ngir tànnee ci diggante graphique dependence yuñ yamale ak mesaas yu làkk wi su agent IA yi joxee ay liggéey.arxiv.orgYeesal
DataKernelBench dafay saytu ndax LLM yi mën nañu gëna baaxal laaj yi ci base de done GPU
Benchmark bu bees dafay jàngat ndax xeetu làkk yi mën nañu defar ak gëna suqali kodu GPU ngir laaj yu nuroo ak base de done, ak këyit biy xamle gaawaay yu yegg ba 2.11 × ci benn GPU H100 ak 2.54 × ci ñeenti GPU H100.arxiv.orgKaaraange
Këyit dafay wax ni bit-flip attack bi mën na yóbbe LLM yu wuute ay eksper ci ay bouclage yu guddu
Benn këyit buñu nangu ci EMNLP 2026 dafa wax ni flipping bits routing-layer ci njaxasu-ci-expert xeetu làkk mën na yokk bu baax guddaayi génne, mën sos disponibilite ak inference-cost risk.arxiv.org
Benn nettali bu am njariñ ayu-bis bu nekk
Weyal IA te doo dundu ci feed bi.
Wutal xibaar IA buñ firndeel ci ayu-bis bi, done yu baax, jumtukaay yu am njariñ, tànneefi jàng, ak liggéey IA yu bees.
Yegg ci nit ñiy jàng IA
Nga jël ab liggéeykat IA wala nga genne ab produit IA bu am njariñ? Tegal ko ci kanamu nit ñi ñëw fi ngir jàng ak jëf.
Publie ab liggey IAYonnee ab jumtukaayu IA