Dañu koy yeesal bis bu nekk2004 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.
Sourcing buñ firndeel
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.
Angale bu leer
Li xewoon, lu tax mu am solo, ak li ñu wara seetaan - te amul jargon.
Amul filler
Su siñaal bi sew, dunu siiwal dara ludul padding feed bi.
Yeneen jaar-jaar
9 jaar-jaarYeesal
Preprint dafay tàmbale ab operatër neuronal buñu teg ci physique ngir kàrtu radio sans fil
Benn preprint bu bees bu arXiv dugal na PU-HNO, muy xeetu model bu am ñatti etap ngir seetlu kàrtu radio yu leer ci biir kër, juge ci simulaasioŋ yu woyof ak xibaar ci seen. Auteur yi dañu wax ni amna yokkute ci yenn xeeti jëfandikoo, waaye dokimaa yiñ joxe joxee wuñu ay resultaa numérique wala firnde ci jëfandikoo gi ci àdduna dëgg.arxiv.orgYeesal
Preprint dafay laaj IA buy defar ay jafe-jafe ci wàllu physique ngir xam fu sikloon tropikaal yi di am ci àdduna bi
Benn preprint bu arXiv dugalna Tianmu-TC, ap kaadaru meteo bu ñu taggat ci ay done yu bëtu gannaar pasifik bi nga xamni bindkat yi neenañu defay gina yombal meteo sikoloon toropikaal ci geej gi ci aduna bi ci noonu lañuy jëfandikoo ay xayma yu néew.arxiv.orgYeesal
Rapport yiñ njëkka imprime, LLM dafay dagg jëfandikoo energie ci santu done yi 32% ak diir bi ñuy xaar 30%
Benn preprint arXiv dafay fësal sistem bu sukkandiko ci LLM buy wax luy waaja am ci diiru def liggéey bi ak jëfandikoo energie ci kodu source bi laata ñuy xaaj jumtukaayi GPU. Auteur yi dañu wax ni energie bi ñuy jëfandikoo moo gëna néew, ak diir bi ñuy toog ci rang ci santu done buñu joxul tur, waaye dokimaa yi amul ay leeral yu doy ngir ñu mëna jàngat seen bopp ci resultaa bi.arxiv.orgYeesal
Jàngat bi dafay tàmbale jaxasoo ngir leeral xarañteg LLM
Benn téere bu am juróomi bindkat ICML 2026 dafay digle natt coppite yi ci jaxasoo yi amul rëdd, du tontu yu mujj rek, sudee coppite yu ndaw yi destabilise modeli làkk yi.arxiv.orgYeesal
Preprint introduces a benchmark and replay method for continual reasoning-model training
A new arXiv preprint studies whether reasoning models can learn tasks sequentially without losing ground, and proposes Continual Prompt Replay to close the gap with joint multitask training.arxiv.orgYeesal
Preprint says sequence-wide normalization can bypass a convolutional receptive field
A new arXiv preprint argues that sequence-pooled normalization can provide global context even when a convolutional sequence labeler has a short receptive field. The finding could affect how researchers assess streaming limits, architecture design and attribution results.arxiv.orgYeesal
ArXiv Preprint Reports Related Slow Dynamics in Transformer and Mamba Blocks
A single-author preprint reports that Transformer and Mamba architectures develop similar near-marginal slow-mode dynamics despite using different internal mechanisms. The finding remains unverified beyond the supplied arXiv record.arxiv.orgYeesal
Preprint Reports Off-Manifold Collapse in Guided Protein Language Models
A new arXiv preprint reports that strong inference-time guidance can push protein language models toward degenerate sequences that still score well under the optimized property oracle. The authors propose a low-cost post-hoc filter based on the model’s natural activation statistics.arxiv.orgKaaraange
Study Finds Denoising Can Recover More Text From Noise-Protected Embeddings
A paper accepted by IEEE ICDM 2026 reports that adaptive inversion reconstructs substantially more of the original text from Gaussian-noise-protected embeddings than an existing generative baseline, challenging a widely used privacy assumption without establishing real-world exposure or independent replication.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