Uhlolojikelele
I-Allen Institute for AI (AI2) ilebhu yocwaningo lwe-Seattle yenhlangano engenzi nzuzo eyasungulwa Microsoft umsunguli u-Paul Allen ngo-2014. Ibalulekile ngoba ikhiqiza amamodeli e-AI avuleke ngokugcwele, amasethi wedatha, namathuluzi njengento ezuzisa umphakathi kunomkhiqizo oqhutshwa inzuzo.
I-Allen Institute ye-AI iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem.
I-Deep Dive
I-AI2 yethulwa ngo-2014 ngenhloso ye-'AI yokusizakala,' eyayixhaswe ekuqaleni ngu-Paul Allen futhi yaholwa iminyaka ngusosayensi wekhompyutha u-Oren Etzioni. Ngokungafani namalebhu okuthengisa, i-AI2 ishicilela ngokukhululekile: amaphepha, ikhodi, idatha yokuqeqeshwa, nezisindo eziyimodeli. Amaphrojekthi ayo aziwa kakhulu ahlanganisa i-Semantic Scholar, injini yokusesha yezemfundo yamahhala ekhomba amaphepha angaphezu kwezigidi ezingu-200; I-AllenNLP, umtapo wolwazi osetshenziswa kabanzi wokucubungula ulimi lwemvelo; kanye nomndeni we-OLMo (Open Language Model), ongakhiphi nje izisindo kodwa idatha yokuqeqeshwa ephelele kanye neresiphi. I-AI2 iphinde yaphenya isethi yedatha ye-Dolma kanye namamodeli acushwe iziyalezo ze-Tulu. I-spinoffs yayo ifaka i-AI2 Incubator. Ukugcizelelwa kuyo yonke isayensi ephindaphindekayo, esobala.
I-Technical Insight
I-OLMo ye-AI2 iphawuleka njengemodeli 'evulekile ngempela': eduze kwezisindo ithumela ikhophasi yokuqeqesha i-Dolma (cishe amathokheni ayizigidi eziyizinkulungwane ezintathu), ikhodi yokuqeqesha, izindawo zokuhlola eziphakathi nendawo, nezindawo zokuhlola. Lokhu kuvumela abacwaningi bangaphandle ukuthi bakhiqize kabusha ukuqeqeshwa, bahlole ukuthi iyiphi idatha elolonge imodeli, futhi bafunde ukuthi amakhono avela kanjani. Amamodeli amaningi 'esisindo esivulekile' akhulula izisindo zokugcina kuphela, ngakho-ke ukukhanya kwe-AI2 okugcwele kwesitaki akujwayelekile futhi kubalulekile ocwaningweni lwesayensi.
I-Mastering Allen Institute ye-AI
I-Allen Institute for AI (AI2) ilebhu yocwaningo lwe-Seattle yenhlangano engenzi nzuzo eyasungulwa Microsoft umsunguli u-Paul Allen ngo-2014. Ibalulekile ngoba ikhiqiza amamodeli e-AI avuleke ngokugcwele, amasethi wedatha, namathuluzi njengento ezuzisa umphakathi kunomkhiqizo oqhutshwa inzuzo. I-Allen Institute ye-AI iqondwa kangcono kumongo wesu, ukufinyelela okuyimodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha i-Allen Institute for AI njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Allen Institute for AI ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokwenza lokho. 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
Abacwaningi basebenzisa i-Semantic Scholar ukuze baseshe futhi bathole izifinyezo ezenziwe nge-AI (TLDRs) kuwo wonke amaphepha emfundo ayizigidi ezingu-200+.
Onjiniyela bakhiqiza futhi bafunde ukuqeqeshwa kwemodeli yolimi besebenzisa izisindo ezikhishwe ngokugcwele ze-OLMo, ikhodi, nesethi yedatha ye-Dolma.
Amaqembu e-NLP akha amapayipi okucubungula umbhalo ngomtapo wezincwadi we-AllenNLP womthombo ovulekile kanye nezingxenye zawo eziqeqeshwe kusengaphambili.
Ososayensi bezokongiwa kwemvelo basebenzisa inkundla ye-AI2 ye-Skylight ukuze bathole ukudoba okungekho emthethweni kumasathelayithi nedatha yokulandelela umkhumbi.
Amaphethini Okusebenzisa
I-Allen Institute ye-AI isebenza
Abacwaningi basebenzisa i-Semantic Scholar ukuze baseshe futhi bathole izifinyezo ezenziwe nge-AI (TLDRs) kuwo wonke amaphepha emfundo ayizigidi ezingu-200+.
Abacwaningi basebenzisa i-Semantic Scholar ukuze baseshe futhi bathole izifinyezo ezikhiqizwe yi-AI (TLDRs) kuwo wonke amaphepha emfundo ayizigidi ezingu-200+ Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yomuntu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Allen Institute ye-AI isebenza
Onjiniyela bakhiqiza futhi bafunde ukuqeqeshwa kwemodeli yolimi besebenzisa izisindo ezikhishwe ngokugcwele ze-OLMo, ikhodi, nesethi yedatha ye-Dolma.
Onjiniyela bakhiqiza futhi bafunde ukuqeqeshwa kwemodeli yolimi besebenzisa izisindo ezikhishwe ngokugcwele ze-OLMo, ikhodi, kanye namaQembu edathasethi ye-Dolma 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-Allen Institute ye-AI isebenza
Amaqembu e-NLP akha amapayipi okucubungula umbhalo ngomtapo wezincwadi we-AllenNLP womthombo ovulekile kanye nezingxenye zawo eziqeqeshwe kusengaphambili.
Amaqembu e-NLP akha amapayipi okucubungula umbhalo ngomtapo wezincwadi we-AllenNLP womthombo ovulekile kanye nezingxenye zawo eziqeqeshwe kusengaphambili Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Allen Institute ye-AI isebenza
Ososayensi bezokongiwa kwemvelo basebenzisa inkundla ye-AI2 ye-Skylight ukuze bathole ukudoba okungekho emthethweni kumasathelayithi nedatha yokulandelela umkhumbi.
Ososayensi bezokongiwa kwemvelo basebenzisa inkundla ye-AI2 ye-Skylight ukuze bathole ukudoba okungekho emthethweni kumasethelayithi nedatha yokulandela umkhumbi Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu, egcina indlela yokukhuphuka komuntu ezimweni ezingavamile, 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.