Dañu koy yeesal bis bu nekk1797 jaar-jaar yuñ firnde
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.
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.
Li xewoon, lu tax mu am solo, ak li ñu wara seetaan - te amul jargon.
Su siñaal bi sew, dunu siiwal dara ludul padding feed bi.
Jaar-jaari IA yuñ saytu fi ñu bawoo, li gëna bees daal di njëkka am, ngir nit ñi bëgga xam IA te baña topp lu bari.
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.
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.
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.
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.
Benn arXiv preprint dafay digal ñu defar firnde rapoor, nimero, yoon ak kàddu yuñ may balaa LLM di defar prose buy lëkkale. Auteur yi dañu wax ni cross-run reproductibility bi dafa gëna rëy ci fMRI ak rapoor ci test randomisé, ci wetu jëfandikoo token bu gëna néew biñ seetlu ak latency median ci benn...
Benn këyit bu bees buñ joxe dafay wane ClueWeaver, benn kaada buñ tàggat ngir neexal, buy xaaj tontub laaj yu yàgg yi ci diggante seetlu firnde ak tekki ci làkk yu dëgër, yuñ mëna jëfandikoo ci gox bi.
Benn këyit bu bees bu arXiv dafay tàmbale Golden-GRPO Injection, muy benn kaadaru jàng sa bopp bu am ñatti pacc, ngir jàppale xeetu làkk yu mag yi ñu xam xam-xam bu bees buñ dugal, ba noppi jëfandikoo ko ci paraphrase, dokimaa yuñ boole ak liggéey yuy xalaat.
Benn preprint bu bees dafa wax ni BanglaMamba, benn modelu espace réew ngir gis xibaar yu baaxul yi ci Bangla, dafay jëfandikoo memory GPU bu néew ba noppi di doxal ay done yu gëna gaaw ci sistem yiñ natt ci BERT, ci noonu mu topp BanglaBERT ci njub ak performance ci biti.
Benn preprint bu bees dafa wax ni mesaas yu direct yi ak peer relays yi mën nañu soppi xalaatu agent model lakk yi, ba noppi wax ni jàngat yi dañu wara topp jaar-jaari exposition ak jëf, te baña topp bind kese.
Benn preprint bu bees dafa wane ni yenn metrics yuñ jagleel ngir méngale ay model lakk ci lakk yi mën nañu indi ay jafe-jafe yu lëkkalook tokenization, encoding ak wuute ci ortograafi. Dafay wax ni log-likelihood bu baaxul ci niveau phrase ci kaw semantik yuy méngoo dafay defar ay méngale yu gëna dëppoo.
Benn done bu bees dafay jàngat xeeti làkk yu yaatu ni ay agent diagnostic ci ndaje klinik yuy weccoo xalaat, du ci laaj yu wuute. MTDiag dafay boole jafe-jafe yi bawoo ci medsin urgent, done klinik yi ak rapoor yiñ siiwal ci jafe-jafe yi, ba noppi digle xam-xam bu lalu ci metrics yu weesu njubte gi ci saytu feebar bi.
Gëstukat yi sos nañu HealthBench-Psych, benn subset bu 610-waxtu wérgi-yaramu xel bu OpenAI's HealthBench, ba noppi génne gasoduk jàngat, tontu model, note ak kodu jàngat.
Benn nettali bu am njariñ ayu-bis bu nekk
Wutal xibaar IA buñ firndeel ci ayu-bis bi, done yu baax, jumtukaay yu am njariñ, tànneefi jàng, ak liggéey IA yu bees.
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 IA Yonnee ab jumtukaayu IA