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.
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
DOW-KE dafay digle gëna xéewale ngir soppali xam-xam ci wàllu modelu IA
Benn këyit arXiv dafay digle njariñu coppite model yu bari ci jàll bu mat sëkk, di xamle njariñ yi gëna am doole ci njuréef yiñ natt ci juróomi ci jiroom benn jekkal model-dataset.arxiv.orgKaaraange
Study Finds Public EEG Encoders Can Transfer Adversarial Attacks to Private Models
An arXiv paper reports that adversarial examples generated through publicly released EEG encoders can affect inaccessible downstream models without queries to their parameters, outputs, or gradients.arxiv.orgYeesal
Paper proposes Mr.Dec to model hospital stays day by day for 30-day readmission prediction
An arXiv paper introduces Mr.Dec, a model that combines daily electronic health-record updates with intermittent chest X-ray findings in chronological order. The authors report state-of-the-art results on two MIMIC datasets, but the supplied record provides no scores or evidence of clinical deployment.arxiv.orgYeesal
A leakage-controlled benchmark tests AI classification of sensitive documents
A new benchmark argues that document-sensitivity classifiers can appear more accurate than they are when residual labels leak into the text. On its cleaned 16,000-document corpus, BERT reached 89.14% accuracy, while logistic regression offered a cheaper alternative.arxiv.orgYeesal
Data-DPO paper proposes target-model-aware selection of fine-tuning data
An arXiv paper introduces Data-DPO, which selects supervised fine-tuning examples using a target model’s responses during brief training probes. Authors report better results than existing selection methods and full-data training on Vision-Flan and LLaVA-CoT, but the record lacks effect sizes or independent validation.arxiv.orgLiggéeyukaay
Stripe agrees to acquire OpenRouter to expand AI model routing
Stripe says it will acquire OpenRouter, whose gateway routes requests across more than 400 AI models from over 80 providers. The companies say the deal will help businesses balance model cost, speed, complexity and reliability, but disclosed no financial terms or closing date.stripe.comLiggéeyukaay
Laajte bu Pew: 71 ci teemeer boo jél ci waa Amerik yaakaarnañu ni juntuwaay yu bees yi dina waññi ligeey yi ci Amerik lu weesu 20 att
Benn laaj ak tontu bu Pew Research Center wonena ni jaaxle ci juntuwaay yu bees yi mungi yokku li ko dale 2021, ak ndaw ñi di wone ni jaaxle ci jëfandikoo bës bu nekk ak ligeey ëllëk yepp.pewresearch.orgProduit
Google yokk na jumtukaayi jàngat IA ci Seetug, boole ci ay quiz, jàngale lens ak kaaye
Google neena Search mingi yokk juróomi man-mani njàngale: nataal yuy weccoo xalaat, laaj ak tontu, tegtal bu lalu ci lens, kaaye AI Mode ak dosie jàngat yuñ personaaliseer.
blog.googleYeesal
Apple këyit dafa wax ni seetlu boolean bu jafee xam P-mat la
Gëstukat yi ci Apple dañu wane ab resultaa bu jafee xam ngir jàngat DAG yu laaj Boolean ci kaw index yuñ soppi ba noppi ñu tàmbale ComputePN, ab algorithm buñ defar ngir moytu yaatal laaj exponentiel ak scanner univers.machinelearning.apple.com
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