Wonke amathuluzi e-AI
Wonke amathuluzi e-AI omhlaba akhona lapha
Umbono wekusasa usuvulekele wena ngokuphelele! Zizwele imikhiqizo ehlakaniphile ye-AI, ubone izixazululo ezintsha ezingakaze zibonwe ezilethwa yiyo emikhakheni eminingi.
Amathuluzi angu-1103Ikhasi 44 kwangu-46
PAST-BenchI-ejenti ye-AII-PAST-Bench iwuhlolo lokulinganisa olwakhiwe yithimba likaMengdi Wang eNyuvesi yasePrinceton, olusetshenziselwa ukuhlola ikhono le-Personal AI Agent lokuzithuthukisa ngokuphindaphindiwe. I-PAST-Bench iqhathanisa ukusebenza kwemisebenzi ngaphansi kwezimo ezinememori nezingenayo, ukuze inqume ukuthi ulwazi olugcinwe yi-Agent phakathi kwamaseshini luthuthukisa ngempela yini ukuziphatha okulandelayo...00Mahhala
Nemotron 3.5 LightningI-ejenti ye-AII-Nemotron 3.5 Lightning iyimodeli ye-MoE yomthombo ovulekile enamapharamitha angu-30B eyethulwe ngu-NVIDIA, elungiselelwe ngokukhethekile amasistimu anama-agent amaningi. Uma iqhathaniswa namamodeli afanayo, ijubane lokukhipha imiphumela likhuphuka izikhathi ezi-4, kanti ijubane lokuqedela imisebenzi yama-agent likhuphuka ngo-30%, ...00Mahhala
MAGI-2-preview – Imodeli yokukhiqiza amavidiyo e-multimodal evulekile ye-Sand.aiUkukhiqiza ividiyo nge-AIMAGI-2-preview – Imodeli yokukhiqiza amavidiyo e-multimodal evulekile ye-Sand.ai iyimodeli yokuqala emhlabeni yokukhiqiza amavidiyo e-multimodal ye-MoE enamapharamitha ayizigidigidi eziyikhulu, evulwe yi-Sand.ai, enamapharamitha aphelele angu-114B kodwa evula angu-6B kuphela. Imodeli iqhubeka nokusebenzisa isakhiwo se-single-stream, ihlanganisa umbhalo, ividiyo nomsindo ku-Transformer eyodwa ukuze ikwenze ukumodela okuhlangene, ngaleyo ndlela ikhiqize i-multimodal ngokwemvelo. Imisebenzi yayo esemqoka ihlanganisa ukukhiqiza kusuka embhalweni, esithombeni, nasevidiyweni kuya kwenye ividiyo, kanye nokuqonda umsindo okuhlanganiswe ngokwemvelo. I-MoE sparse activation yehlisa kakhulu izindleko zokwenza inference. Abasebenzisi abaqondisiwe ngabacwaningi be-AI, abathuthukisi namaqembu ezobuchwepheshe ezinkampani. Isebenza ocwaningweni lwezemfundo, ekusetshenzisweni kwangasese nasekuhlolweni kwangaphambili kwemikhiqizo yamafilimu nezinye izimo ze-multimodal, inikeze isixazululo esisebenza kahle sokukhiqiza amavidiyo esivulekile futhi esingasetshenziswa kwezentengiso.00Mahhala
Wan-Animate-2 – imodeli yesizukulwane esisha yokugqwayiza abalingiswa ekhishwe njenge-open source yiqembu le-WanxiangUkwenza opopayiI-Wan-Animate-2 iyimodeli yesizukulwane esisha yokugqwayiza abalingiswa ekhishwe njenge-open source yiqembu le-Wanxiang. Njengokuthuthukiswa okukhulu kwesakhiwo se-Wan-Animate, isebenzisa i-DiT enamagatsha amabili esebenza ekugcineni kuya ekugcineni, ngaphandle kwesidingo sohlaka lokuma olucacile, ukuze ithwebule ulwazi lokunyakaza oluvela kuvidiyo eyisithenjwa. Isekela ukuguqula ividiyo eqondisayo ibe ukugqwayiza komlingiswa, ukugcina ubuwena nokubukeka, kanye nokulawula i-engeli yokubuka okuqhutshwa umbhalo. Inikeza izindlela ezimbili zokwenza inference: i-Base yekhwalithi ephezulu kanye ne-Distillation enezinyathelo ezimbalwa, futhi yethula uhlobo lwe-Lite oluqondiswe ekugqwayizeni abalingiswa okusakazwa ngesikhathi sangempela. Le modeli ifanele izimo ezifana nabasakazi ababonakalayo, ukwakhiwa kwamavidiyo amafushane, nabantu bedijithali, ihlose ukuthuthukisa kokubili ukwethembeka kokunyakaza nokuvumelana kobuwena, kuyilapho yehlisa ukubambezeleka kokukhiqiza.00Mahhala
LayerBack – Ithuluzi le-AI lokuguqula izithombe zamashadi zibe amashadi ahlelekayo ngokuchofoza okukodwaIzinqubo ezizenzakalelayoI-LayerBack iyithuluzi le-AI lokuguqula izithombe zamashadi. Abasebenzisi bangalayisha izithombe-skrini zamashadi okugeleza, amashadi ezakhiwo zesistimu noma izithombe zamabhodi amhlophe, bese i-AI ibona izimo, imigqa yokuxhuma nombhalo okushadini, iphinde ikwakhe kube amafayela e-VSDX, PPTX, draw.io ne-SVG ahlelekayo ngempela. Imisebenzi eyinhloko ihlanganisa ukuguqula isithombe sibe yishadi elihlelekayo ngokuchofoza okukodwa, izinto zomdabu ezihlelekayo ngempela, ukukhipha amafomethi amane ngokuguqula okukodwa, ukusekela izinhlobo eziningi zamashadi, ukulungisa ku-inthanethi kusiphequluli, kanye nokuhlinzeka ngokufinyelela kwe-REST API ne-MCP Server. Abasebenzisi abaqondisiwe bahlanganisa abasebenzi basehhovisi, amaqembu ezobuchwepheshe, othisha nabacwaningi, onjiniyela namaqembu ez automatiki, kanye nabasebenzisi be-AI Agent. Inani layo lisekutheni iqeda ngokuphelele ukudweba kabusha ngesandla, yenze ukuguqulwa okusheshayo kusuka kumaphikseli kuya kumafayela ahlelekayo, futhi igxile ekuvikelweni kobumfihlo: amafayela asuswa ngokuzenzakalela emahoreni angu-72 ngemva kokulayishwa.00Mahhala
MiniMax H3Ukukhiqiza ividiyo nge-AII-MiniMax H3 iyimodeli ejwayelekile yokukhiqiza esebenza ngazo zonke izinhlobo zemidiya, eyenzelwe ukweqa imingcele yemisebenzi ethile futhi isuke ekukhiqizeni amavidiyo kuphela iye ekukhiqizeni okuqukethwe okuphelele. Inamandla okuqonda umongo wemidiya eminingi, ihlanganise imithombo yolwazi eyinkimbinkimbi efana nezithombe, umsindo namavidiyo, futhi isekele ukwenziwa kokwethulwa okunembile kombhalo nomkhiqizo, ukudluliswa kokunyakaza kwe-V2V kanye nokuhlelwa kokuqukethwe kwemidiya eminingi ngemiyalelo yolimi lwemvelo. Le modeli yenzelwe abadali abasebenza ezimeni zezentengiso ezifana nokukhangisa, ezohwebo lwe-inthanethi nemidlalo, ibanikeze amandla okukhiqiza ezinga lezentengiso ezimweni eziningi futhi ibasize benze izinhloso zokudala eziyinkimbinkimbi ngempumelelo.00Okukhokhelwayo
Karpo – umsizi we-AI wempilo yansuku zonke, oqapha ngokuqhubekayo uhlelo lomsebenzisi nezinto azithandayoUmsizi we-AII-Karpo ingumsizi osebenzayo we-AI wempilo yasemadolobheni owenziwe yi-MachinePulse, osebenzisa i-iMessage njengendawo yokungena eyinhloko. Njengomngane, ingathumela ngokuqhubekayo izincomo ezenzelwe umuntu ngamunye zemidlalo eseduze, izindawo zokudlela, imibukiso nezinye izinto ezijabulisayo. Umkhiqizo utholakala emadolobheni omhlaba afana ne-New York, London ne-Singapore, futhi usekela ukubhukha izindawo zokudlela nemicimbi, kuhlanganise nokushayela abathengisi egameni lomsebenzisi ukuze kuqinisekiswe ukubhukha. Imisebenzi eyinhloko ihlanganisa ukuthumela izincomo ngokuqhubekayo, ukuxhumana okuqondile nge-iMessage, ukufanisa okuhlakaniphile ezimweni eziningi, ukubhukha nokwenza isenzo ngokuchofoza okukodwa, ukushayela ngummeleli we-AI, ukuvumelanisa uhlelo nekhalenda nokufunda okuqhubekayo okwenziwe kumuntu ngamunye. Abasebenzisi abahlosiwe ngabantu basemadolobheni abakhathalela ikhwalithi yokuphila futhi abafuna ukunciphisa umthwalo wokwenza izinqumo. Inani layo lisekelwe ekuxhumaneni okusebenzayo, ekungadingi ukufunda indlela yokuyisebenzisa, kanye nochungechunge oluphelele olusuka esincomweni luye ekwenzeni isenzo, ngaleyo ndlela kuhlanganiswe yonke inqubo yokwenza izinqumo mayelana nokuzijabulisa nokuphila kwansuku zonke.00Mahhala
2026 Ukubuyekezwa Kwesoftware Yokubhala Amanoveli nge-AI: FeelFish 4.0Ukuhlela nge-AII-FeelFish 4.0 iyisoftware yobungcweti yokubhala amanoveli, eguqula amamodeli amakhulu e-AI abe yiqembu lababhali eliqonda iphrojekthi yakho. Ihlinzeka ngokuphathwa kwephrojekthi okuhlelekile, okuhlanganisa izahluko, uhlaka, abalingiswa kanye nezilungiselelo, futhi isekela umongo ohlakaniphile ukuze kugcinwe ukuhambisana komqondo ekubhaleni imisebenzi emide. Leli thuluzi lisekela ukusebenzisana kwama-agent amaningi enziwa ngokwezifiso, ukulawula okukude ngekhompyutha nedivayisi yeselula, kanye nokuvumelanisa nge-cloud drive ne-time machine yendawo ukuze kuvikelwe imibhalo. Lihloselwe ukuhlinzeka ababhali bemisebenzi emide, njengamanoveli ewebhu nemibhalo yemidlalo, ngohlelo oluphelele lokusebenza lokubambisana phakathi komuntu ne-AI.00Mahhala
ShotcutUkuhlelwa kwamavidiyo nge-AII-Shotcut iyisofthiwe evulekile yokuhlela amavidiyo esekelwe ku-FFmpeg, imahhala ngokuphelele futhi ayinawo ama-watermark noma imikhawulo yobude besikhathi. Isekela ukuhlela ngokuqondile ngaphandle kokungenisa amakhulu amafomethi omsindo namavidiyo, inikeza umugqa wesikhathi onamathrekhi amaningi, izithombe ezinyakazayo ezilawulwa ngama-keyframe, izinhlobo eziningi...00Mahhala
SmartSub – Ithuluzi ledeskithophu lomthombo ovulekile lokucubungula imibhalo engezansi yomsindo nevidiyo konke endaweni eyodwaUkuqaphela inkulumo nge-AII-SmartSub (妙幕) iyithuluzi ledeskithophu lomthombo ovulekile lokucubungula imibhalo engezansi yomsindo nevidiyo konke endaweni eyodwa. Leli thuluzi lihlanganisa lonke uhlelo lokusebenza lube kuhlelo olulodwa, lisebenzisa amamodeli endawo afana ne-Whisper, FunASR ne-Qwen3-ASR ukuguqula inkulumo ibe umbhalo ngaphandle kwe-inthanethi, lisekela izinsizakalo zokuhumusha ezingaphezu kuka-20 kanye nokuphimisa kwe-AI okunabalingiswa abaningi. Linomlandi wevidiyo eku-inthanethi owakhelwe ngaphakathi, lihambisana nezinkundla ezifana ne-B站 ne-YouTube, lisekela ukusheshiswa kwehadiwe okufana ne-NVIDIA CUDA ne-Apple Core ML, futhi lisebenza endaweni ku-Windows, macOS ne-Linux.00Mahhala
Hunyuan3D-Buffalo 1.0 – Uhlaka lwe-3D lwezindlela eziningi olukhishwe yi-Tencent HunyuanUmklamo we-3DI-Hunyuan3D-Buffalo 1.0 – Uhlaka lwe-3D lwezindlela eziningi olukhishwe yi-Tencent Hunyuan iwuhlaka oluhlanganisiwe lwe-3D lwezindlela eziningi olukhishwe yi-Tencent Hunyuan. Ihlanganisa imibuzo nezimpendulo ze-3D, ukubeka indawo, umbhalo uye ku-3D, ukuhlela okuqondiswa yimiyalelo kanye nokukhiqizwa kwezingxenye kube yinqubo eyodwa isebenzisa i-Hunyuan3D-VLM backbone eyabiwe. Uhlaka lusekela ukuqonda isakhiwo samamodeli e-3D ngolimi lwemvelo, ukuthola izingxenye, ukuguqula ijiyomethri yendawo ngokwemiyalelo, kanye nokukhipha izingxenye ezisezingeni lencazelo. Luhlose ukuhlanganisa ukuqonda, ukukhiqiza nokuhlela kwe-3D kube umjikelezo ophelele, lunikeze umkhiqizo wempahla ye-3D ohlanganisekayo wemidlalo, opopayi nokuklanywa kwezimboni. Imisebenzi esemqoka ihlanganisa ukuqonda kwe-3D, umbhalo uye ku-3D, ukuhlela okuqondiswa yimiyalelo kanye nokukhiqizwa kwezingxenye; zonke lezi zinhlobo ezine zabelana ngomehluko ofanayo wencazelo ye-3D kanye nendlela yokucubungula. Lufanele abathuthukisi bemidlalo, abakhiqizi bopopayi, abaklami bezimboni nabadali bokuqukethwe kwe-3D. Ngokusebenzisana ngolimi lwemvelo, lwehlisa izithiyo zobuchwepheshe futhi luthuthukise ukusetshenziswa kabusha kwempahla kanye nokusebenza kahle kokuphindaphinda.00Mahhala
AtlantixInkundla yokuthuthukisaI-Atlantix iyinkundla yokuthola, ukuthuthukisa nokwenza izinto ezintsha zibe yimikhiqizo noma izinsizakalo ezithengiswayo. Iguqula imiphumela emisha evela kososayensi abahamba phambili nasemanyuvesi ibe yizixazululo ezilungele imakethe. Abasebenzisi bangakhetha ubuchwepheshe kusizindalwazi esikhethiwe, basebenzise i-AI ukwenza uhlelo lwebhizinisi, futhi baxhumane nochwepheshe, abatshalizimali nabeluleki—konke kuhlanganiswe enkundleni eyodwa.00Mahhala
MindMemOS – Uhlelo lokusebenza lwememori lwe-AI Agent oluvulekele umphakathi, oluvulwe yi-Huawei Noah's Ark LabI-ejenti ye-AIMindMemOS – Uhlelo lokusebenza lwememori lwe-AI Agent oluvulekele umphakathi, oluvulwe yi-Huawei Noah's Ark Lab, lwenzelwe ukuhlinzeka ama-agent adinga ukuphathwa kwememori yesikhathi eside ngongqimba lwememori oluvulelekile nolungasetshenziswa kabusha. Lusebenzisa isakhiwo esinezilinganiso ezintathu: ibhizinisi, isibaluli nesikhathi, luhlukanisa imemori ku-Agent eyodwa luyenze impahla ezimele esebenza kuwo wonke amafreyimwokhi, futhi luthuthukisa imemori ngokuqhubekayo ngezinqubo ezifana ne-Dreaming yokuhlela ungaxhunyiwe ku-inthanethi, i-Feedback yokulungisa amaphutha kanye ne-Skill Evolution yokuziphendukela ngokuzenzakalelayo. Uhlelo luhlinzeka ngezindlela ezimbili zokubhala imemori (MindVanilla, MindSchema) kanye nokusesha kwe-Compact Search okunemizila eminingi, futhi lusekela ukufakwa ku-Docker endaweni, i-API esebenza efwini, i-Python SDK, i-CLI nezinye izindlela zokuxhuma. Ngokunemba kokubuyisa okuhlelekile okungaphezu kuka-94% kanye nokuthuthukisa ukunemba kwezimpendulo zemibuzo ngo-10% ngemva kokucindezelwa kwememori, lusiza abathuthukisi ukuthi babelane ngolwazi phakathi kwezingxoxo futhi bathuthukise ukusebenza kwemisebenzi ezimweni ezifana nabasizi abenziwe ngezifiso, ukubambisana kwama-Agent amaningi kanye ne-automation eyinkimbinkimbi yemisebenzi yasehhovisi.00Mahhala
dots.ttsUkwenziwa kwenkulumo nge-AII-dots.tts iyimodeli eyisisekelo yokwenziwa kwenkulumo ye-autoregressive eqhubekayo ngokuphelele, enamapharamitha ayizigidigidi ezi-2, ekhishwe ngomthombo ovulekile ngokubambisana yiqembu le-Xiaohongshu dots kanye ne-X-LANCE Laboratory yase-Shanghai Jiao Tong University. Imodeli ikhiqiza umsindo we-48kHz ngamaqoqo ngokuqondile endaweni efihlekile eqhubekayo, futhi...00Mahhala
LTX-2.5Ukukhiqiza ividiyo nge-AII-LTX-2.5 iyimodeli eyisisekelo ye-AI yokukhiqiza amavidiyo evulekile ye-LTX, enamapharamitha angu-22B futhi enesisindo esivulekile kusukela ngosuku lokukhishwa. Imodeli isekela ukukhiqizwa kwamashothi amaningi ngokwemvelo, i-4K HDR kanye nezindlela zokusebenza zobuchwepheshe ze-RAW/EXR, futhi ingakhiqiza umsindo ngesikhathi esifanayo, ...00Mahhala
SALMONN-2 – imodeli yolimi olukhulu yomsindo ejwayelekile ekhishwe yi-Tsinghua nabanyeUkuhlela nge-AII-SALMONN-2 – imodeli yolimi olukhulu yomsindo ejwayelekile ekhishwe yi-Tsinghua nabanye iyimodeli yolimi olukhulu yomsindo ejwayelekile eyakhiwe kusetshenziswa i-SPEAR unified self-supervised audio encoder yakwa-ByteDance kanye ne-multi-layer feature fusion adapter, ne-Qwen3 njengesisekelo sombhalo. Isekela imisebenzi ehlukahlukene efana nokuqaphela inkulumo, ukuchaza umsindo, ukuqonda umculo, ukuqaphela imizwa nokuqinisekisa isikhulumi, futhi ngokokuqala ngqa ku-ALLM ejwayelekile ihlanganisa ngokuhlelekile amakhono athuthukile okuhlonza izehlakalo zomsindo, ukuthola umsindo okhohlisiwe, ukuhlola ikhwalithi yenkulumo kanye nokuqaphela inkulumo okunomongo we-multimodal. Imodeli isebenzisa i-SPEAR encoder eyodwa esikhundleni sohlelo oluvamile lwama-encoder amabili, futhi ihlanganisa izici zomsindo zamazinga amaningi nge-MLF adapter ukuze ithole ukusebenza okulinganiselayo ezizindeni ezahlukene. Ngokuqeqeshwa okuphumelelayo kusetshenziswa cishe amahora angu-18,000 edatha egadiwe kuphela, i-SALMONN-2 ifinyelela ukusebenza okuhamba phambili phakathi kwamamodeli omthombo ovulekile anosayizi ofanayo kuma-benchmark amathathu aphelele i-MMAU-Pro, i-MMAR kanye ne-MMSU. Ilungele izimo ezifana nabasizi bemihlangano abahlakaniphile, ukuhlolwa kokuqukethwe komsindo kanye nokuqapha ikhwalithi yenkulumo.00Mahhala
SenseNova U1.5-Lite-Preview – Imodeli ye-multimodal elula, evulekile yakwa-SenseTimeAmamodeli amakhulu e-AISenseNova U1.5-Lite-Preview – imodeli ye-multimodal elula, evulekile yakwa-SenseTime, isekelwe ekwakhiweni kwe-NEO-Unify futhi isebenzisa amapharamitha angu-8B-MoT ukuze ihlanganise ukuqonda okubukwayo, ukucabanga, ukwakha nokuhlela ngendlela yemvelo. Imodeli isekela ukwakha izithombe ze-ultra-HD ze-4K ngendlela yemvelo, inikeza ukuthungwa okunemininingwane, ukubukeka okungokoqobo kanye nekhono lokunikeza umbhalo wesiShayina nesiNgisi ezakhiweni eziyinkimbinkimbi. I-Prompt Enhance Skill eyakhelwe ngaphakathi yehlisa umngcele wokudala, ikwazi ukusebenzisa ngokunembile imiyalelo emide kakhulu yolimi lwemvelo kanye nemiyalelo ebonakalayo ehlelekile, futhi isekele ukuhlela okuqhubekayo nokuphindaphindwayo. Iqondiswe kubaklami, abathuthukisi nabadali bokuqukethwe, inikeza ithuluzi lokudala okubukwayo elisezingeni lezentengiso, elinezindleko eziphansi zokufakwa kanye nezinga eliphezulu lokulandela imiyalelo.00Mahhala
I-Kitesurf – isiphequluli esilula sefu se-AI Agent esethulwe yi-CloudflareI-ejenti ye-AII-Kitesurf isiphequluli esilula sefu se-AI Agent esethulwe yi-Cloudflare, esakhiwe nge-Rust futhi esisebenza endaweni ehlukanisiwe ye-Workers V8. Sisusa imisebenzi ebhekiswe kubantu, njengamathebhu nezandiso, sigxile ekuhlaziyweni kwe-DOM, ekusebenzeni kwe-JavaScript nasekukhipheni idatha. Siphinde sihambisane ne-CDP ne-MCP, kanti i-Puppeteer ne-Playwright kungaxhunywa kuso ngaphandle kokubhalwa kabusha. Uma siqhathaniswa ne-Chromium, sisebenzisa i-CPU engaphansi ngokuphindwe izikhathi ezi-3, imemori engaphansi ngokuphindwe izikhathi ezi-4.7 kuya kwezi-7, futhi sifanele imisebenzi yama-AI Agent enokuncintisana okuphezulu nengenazo izimo ezigciniwe. Abathuthukisi bangasebenzisa isixhumi esibonakalayo se-Quick Actions ukuze bathathe isithombe-skrini, bakhiphe i-HTML noma benze i-PDF ngokuchofoza okukodwa, noma bazame isevisi ku-inthanethi nge-Playground.00Mahhala
Muse Glimmer – Imodeli yolimi enkulu enamapharamitha ayizigidi eziyizinkulungwane ezingu-30 evulwe yi-MetaI-ejenti ye-AIIMuse Glimmer imodeli yolimi enkulu enamapharamitha ayizigidi eziyizinkulungwane ezingu-30 evulwe yi-Meta, eyenzelwe futhi yalungiselelwa ngokujulile ukuqhuba ama-Workflow e-Agent ahlala kudivayisi ubusuku nemini. Ngobuchwepheshe be-4bit quantization, imodeli ingasebenza kahle ku-GPU eyikhadi elilodwa elinememori engu-24GB noma ku-Apple Silicon (M4/M5 Max) enememori ehlanganisiwe engu-32GB, cishe ngaphandle kokuncipha kokusebenza. Ihlanganisa i-DFlash speculative decoding, efinyelela ekusheshiseni okufika ku-3.1x ku-hardware esezingeni eliphezulu njenge-RTX 5090, futhi isekela imisebenzi ye-multimodal efana nezingxoxo zesikhathi sangempela, ukubiza amathuluzi, ukukhiqiza ikhodi kanye nokucabanga ngezinyathelo eziningi. Ifanele abathuthukisi ngabanye, amabhizinisi amancane naphakathi, kanye nezimboni ezifana nezempilo nezezimali ezinezidingo eziphezulu zobumfihlo bedatha. Inikeza amandla e-AI asebenza kahle endaweni ngaphandle kwemfuneko enkulu yememori ye-GPU, futhi yonke idatha ihlala ngaphakathi kwedivayisi.00Mahhala
ClawTeamsI-ejenti ye-AII-ClawTeams iyinkundla yokubambisana ekuphathweni kwe-e-commerce eqhutshwa yi-AI. Abasebenzisi bathumela umgomo ngomusho owodwa ku-IM efana ne-Slack, Teams noma i-WeChat, bese i-AI Team Lead ihlukanisa imisebenzi ngokuzenzakalelayo, ihlele ama-Agent ochwepheshe angaphezu kuka-30 ukuthi ayenze kanyekanye, ...00Mahhala
ShieldstralAI Umhlalelo WezibuzoI-Shieldstral – imodeli yomthombo ovulekile ye-Mistral AI yokuhlukanisa ukuphepha kokuqukethwe kwe-multimodal iyimodeli engu-3B yamapharamitha eyethulwe yi-Mistral AI, eyakhelwe phezu kwe-Ministral-3B. Imodeli ichaza kabusha ukuhlolwa kokuqukethwe kwezigaba ezimisiwe kwendabuko kube umsebenzi wemibuzo nezimpendulo ezimbili, futhi ivumela izinqubomgomo zokuhlola ukuthi zichazwe ngesikhathi sangempela ngemibuzo yolimi lwemvelo ngaphandle kokuqeqeshwa kabusha, ukuze ivumelane nezimo ezahlukene. I-F1 emaphakathi yemodeli ifinyelela ku-84.9% ebhentshimakhi yokuphepha kombhalo, kanti i-F1 yokuphepha kwe-multimodal ifinyelela ku-83.8%, zombili zisezingeni le-SOTA. Ingafakwa kusetshenziswa i-GPU eyodwa engu-16GB futhi isekela izilimi ezingu-12. Imisebenzi eyinhloko ihlanganisa ukuhlola okuvumelana nezinqubomgomo, ukutholwa okuhlanganisiwe kwe-multimodal, ukuhlonza ukwephulwa kwemithetho ngezinga elinemininingwane, amaphuzu okuphepha alinganisiwe, kanye nokufakwa okulula kumadivayisi asemaphethelweni. Ifanele ukulawulwa kobungozi bokuqukethwe ezinkundleni zokuxhumana, ukuvikelwa kokuphepha kwezingxoxo ze-AI, ukuhambisana kwezikhangiso nokumaketha, ukuhlungwa kokuqukethwe kwemfundo eku-inthanethi, kanye nokuhlolwa kokuphepha kwemibhalo yezinkampani.00Mahhala
SoniloInkundla yokuthuthukisaI-Sonilo iyinkundla ye-AI yokukhiqiza umculo ohambisana namavidiyo nemisindo, eyasungulwa ithimba eliyinhloko langaphambili le-ByteDance ne-Mureka yase-Kunlun Tech. Ngemva kokulayisha ividiyo, i-AI ihlaziya ngokuzenzakalela isigqi, imizwa nezenzo ezisesithombeni, bese ikhiqiza umculo nemisindo ehambisanayo...00Mahhala
Grok BotI-ejenti ye-AII-Grok Bot iwuhlelo lwe-AI Agent olwenziwe yi-SpaceXAI, olukwazi ukungena kuma-akhawunti abasebenzisi futhi lusebenzise amawebhusayithi namathuluzi njengomuntu wangempela, lusebenzele abasebenzisi efwini amahora angu-24 ngosuku. Lolu hlelo lusekela ukusebenzisana kwama-Bot amaningi ngesikhathi esisodwa, ukurekhodwa...00Mahhala