Uhlolojikelele
I-BigScience bekuwukuhlanganyela kocwaningo oluvulekile unyaka wonke lwabacwaningi abangaphezu kwe-1,000 abakhiqize i-BLOOM, enye yezinhlobo zokuqala zezilimi eziningi ngempela, ezikhishwe ngokukhululekile. Ibalulekile njengengqophamlando ku-AI esobala, eqhutshwa umphakathi eyakhiwe ngaphandle kweBig Tech.
I-BigScience kanye ne-BLOOM Model iqondwa kangcono kumongo wesu, ukufinyelela imodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem.
I-Deep Dive
IBigScience bekuwumhlangano wokucobelelana ngolwazi wonyaka owodwa oqala ngo-2021 kuya ku-2022, odidiyelwe yiHugging Face futhi uhlanganisa ndawonye abacwaningi abangamavolontiya abangaphezu kwe-1,000 abavela emazweni angaphezu kuka-60 nezikhungo ezingama-250. Okuphumayo kwesihloko sayo, esikhishwe ngoJulayi 2022, bekuyi-BLOOM, imodeli yolimi ezenzakalelayo yepharamitha eyizigidi eziyizinkulungwane eziyi-176. U-BLOOM wayesebenzisa izilimi eziningi ngamabomu, waqeqeshwa ekhophasini ye-ROOTS ehlanganisa izilimi zemvelo ezingama-46 nezilimi zokuhlela eziyi-13, nokumelela okuqinile kwezilimi ezingameleleki kahle njengezilimi ezimbalwa zase-Afrika nezaseNingizimu Asia. Ukuqeqeshwa kuthathe izinyanga ezimbalwa kukhompuyutha eyi-Jean Zay exhaswe esidlangalaleni e-France isebenzisa cishe ama-384 GPU. I-BLOOM ikhishwe ngaphansi Kwelayisense Ye-AI Enesibopho nemibhalo egcwele yedatha yayo, ukuqeqeshwa, kanye nokusetshenziswa okuhlosiwe, okuqhathaniseka kakhulu nokuthuthukiswa okuvaliwe kwamamodeli aqhathanisekayo.
I-Technical Insight
I-BLOOM iyisiguquli esinedekhoda kuphela esikalini esifanayo ne-GPT-3, isebenzisa ukushumeka kwendawo ye-ALiBi esikhundleni samavekhtha ezindawo ezifundiwe, esisiza ukuthi sidlulele ekulandeleni okude kunokubonwa ekuqeqeshweni. Iphinde isebenzise ukushumeka kwesindlalelo esijwayelekile esithuthukise ukuzinza kokuqeqeshwa esikalini. Ikhophasi ye-ROOTS yezilimi eziningi yaqoqwa ngokucophelela futhi yabhalwa phansi ukuze ingxube yolimi nemithombo yedatha ibe sobala futhi ifundeke, ukusuka ngamabomu kumadathasethi aklwetshiwe angacacile.
I-Mastering BigScience kanye ne-BLOOM Model
I-BigScience bekuwukuhlanganyela kocwaningo oluvulekile unyaka wonke lwabacwaningi abangaphezu kwe-1,000 abakhiqize i-BLOOM, enye yezinhlobo zokuqala zezilimi eziningi ngempela, ezikhishwe ngokukhululekile. Ibalulekile njengengqophamlando ku-AI esobala, eqhutshwa umphakathi eyakhiwe ngaphandle kweBig Tech. I-BigScience kanye ne-BLOOM Model iqondwa kangcono kumongo wesu, ukufinyelela imodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha i-BigScience kanye ne-BLOOM Model 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-BigScience kanye ne-BLOOM Model ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokuzibophezela. 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
Ukukhiqiza nokuqedela umbhalo kuzo zonke izilimi eziningi, kuhlanganisa nalezo ezingagcinwanga amamodeli entengiso
Isebenza njengesizinda socwaningo esivulekile sokufunda ukuchema, ukudluliswa kwezilimi eziningi, nokuziphatha kokukala
Ukushuna kahle kokuhlukile okuqondene nomsebenzi othile noma okulandela iziyalezo okufana ne-BLOOMZ yemiphakathi engeyona eyesiNgisi
Ukuhlinzeka ngemodeli ebhalwe ngokugcwele yezifundiswa ezifunda ukutholakala kwedatha yokuqeqeshwa kanye nokunikezwa kwelayisensi ye-AI enesibopho
Amaphethini Okusebenzisa
I-BigScience kanye ne-BLOOM Model ekusebenzeni
Ukukhiqiza nokuqedela umbhalo kuzo zonke izilimi eziningi, kuhlanganisa nalezo ezingagcinwanga amamodeli entengiso.
Ukukhiqiza nokuqedela umbhalo kuzo zonke izilimi eziningi, okuhlanganisa nalezo ezingagcinwanga kahle amamodeli ezentengiso Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-BigScience kanye ne-BLOOM Model ekusebenzeni
Isebenza njengesizinda socwaningo esivulekile sokufunda ukuchema, ukudluliswa kwezilimi eziningi, nokuziphatha kokukala.
Usebenza njengesizinda socwaningo esivulekile sokutadisha ukuchema, ukudluliswa kwezilimi eziningi, kanye nokuziphatha kokulinganisa Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-BigScience kanye ne-BLOOM Model ekusebenzeni
Ukushuna kahle kokuhlukile okuqondene nomsebenzi othile noma okulandela iziyalezo okufana ne-BLOOMZ yemiphakathi engeyona eyesiNgisi.
Ukuhlela kahle kube okuhlukile okuqondene nomsebenzi othize noma okulandela iziyalo okufana ne-BLOOMZ yemiphakathi engeyona eyamaNgisi Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-BigScience kanye ne-BLOOM Model ekusebenzeni
Ukuhlinzeka ngemodeli ebhalwe ngokugcwele yezifundiswa ezifunda ukutholakala kwedatha yokuqeqeshwa kanye nokunikezwa kwelayisensi ye-AI enesibopho.
Ukuhlinzeka ngemodeli ebhalwe ngokugcwele yezifundiswa ezifunda ukutholakala kwedatha yokuqeqeshwa kanye namaQembu anikeza amalayisense e-AI anomthwalo wemfanelo ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamacala abucayi, futhi alandelele 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.