Uhlolojikelele
I-Tongyi Lab iyiqembu le-Alibaba locwaningo lwe-AI ngemuva komndeni wakwaQwen wamamodeli olimi amakhulu anesisindo esivulekile. I-Qwen isibe ngomunye wemindeni eyimodeli evulekile esetshenziswa kakhulu futhi yalandwa emhlabeni, ikakhulukazi kuwo wonke umphakathi wemithombo evulekile yomhlaba.
I-Tongyi Lab kanye ne-Qwen Research iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nokubambisana kwe-ecosystem.
I-Deep Dive
I-Tongyi Lab (通义) yinhlangano yocwaningo ngaphakathi kwe-Alibaba Cloud ethuthukisa uchungechunge lwe-Qwen (Tongyi Qianwen) lwamamodeli ayisisekelo. Kusukela yakhishwa okokuqala ngo-2023, i-Qwen isikhule yaba i-ecosystem ebanzi: amamodeli olimi aminyene kanye ne-Mixture-of-Experts ngamasayizi amaningi, kanye namagatsha akhethekile afana ne-Qwen-VL (ulimi lombono), i-Qwen-Audio, i-Qwen-Coder yokuhlela, ne-Qwen-Math. Isu elichazayo wukuvuleleka — I-Alibaba ishicilela amamodeli amaningi e-Qwen ngaphansi kwamalayisense ayimvume (ngokuvamile i-Apache 2.0), ukuze noma ubani akwazi ukulanda, ukuwashuna, futhi awasebenzise. Lokhu kwenze i-Qwen yaba isisekelo sezinkulungwane zamamodeli asuselwe ku-Hugging Face. Izizukulwane kusukela ku-Qwen2 kuya ku-Qwen3 ziye zavala kancane kancane igebe ngamamodeli avaliwe ahamba phambili ekucabangeni, ngezilimi eziningi, nezilinganiso zokubhala amakhodi.
I-Technical Insight
Amamodeli e-Qwen asebenzisa i-transformer ejwayelekile yedekhoda kuphela enokucolisiswa: ukushumeka kwendawo ejikelezayo yomongo omude, ukunakwa kwemibuzo eqoqwe ukuze kufinyelelwe kahle, nokwenziwa kusebenze kwe-SwiGLU. Ukukhishwa okukhudlwana kusebenzisa i-Mixture-of-Experts, lapho kuphela ingxenyenanyana yamapharamitha esebenza ithokheni ngayinye, inikeze ikhwalithi yamamodeli amakhulu ngekhompyutha ephansi. I-Tongyi Lab iphinde itshale imali eningi ekwenzeni amathokheni ngezilimi eziningi kanye nasekuqeqesheni ngemva kokuqeqeshwa (ukuhlelwa kweziyalezo kanye nokufunda okuqiniswayo okuvela kumpendulo yomuntu kanye ne-AI) ukuze kucije ukucabanga nokusebenzisa amathuluzi.
I-Mastering Tongyi Lab kanye ne-Qwen Research
I-Tongyi Lab iyiqembu le-Alibaba locwaningo lwe-AI ngemuva komndeni wakwaQwen wamamodeli olimi amakhulu anesisindo esivulekile. I-Qwen isibe ngomunye wemindeni eyimodeli evulekile esetshenziswa kakhulu futhi yalandwa emhlabeni, ikakhulukazi kuwo wonke umphakathi wemithombo evulekile yomhlaba. I-Tongyi Lab kanye ne-Qwen Research iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobudlelwano be-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha i-Tongyi Lab ne-Qwen Research njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Tongyi Lab kanye ne-Qwen Research ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokwenza. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ngesikhathi esifanayo, izimemezelo Zokuqalisa zingase zidlule ukuzinza ekusebenzeni kwangempela kokukhiqiza. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Onjiniyela balungisa kahle amamodeli e-Qwen avulekile ku-Hugging Face kuma-chatbots angokwezifiso nabasizi
Ukukhiqizwa kwekhodi ye-Qwen-Coder nokuqedwa kumathuluzi okuhlela
I-Qwen-VL ihlaziya izithombe namadokhumenti ukuze iphendule imibuzo eminingi
Amabhizinisi athumela i-Qwen nge-Alibaba Cloud ukuze uthole ukwesekwa kwamakhasimende ngezilimi eziningi kuzo zonke izimakethe zase-Asia
Amaphethini Okusebenzisa
I-Tongyi Lab kanye ne-Qwen Research ngokusebenza
Onjiniyela balungisa kahle amamodeli e-Qwen avulekile ku-Hugging Face kuma-chatbots angokwezifiso nabasizi.
Onjiniyela balungisa kahle amamodeli e-Qwen avulekile ku-Hugging Face kuma-chatbots angokwezifiso nabasizi Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Tongyi Lab kanye ne-Qwen Research ngokusebenza
Ukukhiqizwa kwekhodi ye-Qwen-Coder nokuqedwa kumathuluzi okuhlela.
Ukukhiqizwa kwekhodi ye-Qwen-Coder enika amandla amandla nokuqedwa kumathuluzi okuhlela Amathimba ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Tongyi Lab kanye ne-Qwen Research ngokusebenza
I-Qwen-VL ihlaziya izithombe namadokhumenti ukuze iphendule imibuzo eminingi.
I-Qwen-VL ihlaziya izithombe namadokhumenti okuphendula imibuzo yezindlela eziningi Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Tongyi Lab kanye ne-Qwen Research ngokusebenza
Amabhizinisi athumela i-Qwen nge-Alibaba Cloud ukuze uthole ukwesekwa kwamakhasimende ngezilimi eziningi kuzo zonke izimakethe zase-Asia.
Amabhizinisi athumela i-Qwen nge-Alibaba Cloud ukuze athole ukwesekwa kwamakhasimende ngezilimi eziningi kuzo zonke izimakethe zase-Asia Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.
Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.
Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.
Ukuqalisa Umhlahlandlela
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.