AI Earn Hub
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Mayelana nalolu hlelo lokusebenza
I-"AI Train Hub" iwuhlelo lokusebenza lweselula oluhamba phambili ekuqeqesheni imodeli ye-AI, olusebenzisa amandla e-TensorFlow Lite ukuze kuguqulwe inqubo yokuqeqeshwa. Ngalolu hlelo lokusebenza, abasebenzisi basebenzisa amandla okubambisa ama-smartphone processors abo, baguqule amadivaysi abo abe yizindawo zokuqeqesha ze-AI eziqinile.
Ikhono lobuchwepheshe bohlelo lokusebenza lilele ekusetshenzisweni kwalo kwe-TensorFlow Lite, uhlaka oluphambili olwaziwayo ngokusebenza kahle kwalo ekukhipheni amamodeli okufunda omshini kumadivayisi eselula kanye nawonqenqema. Ngokungena kulobu buchwepheshe, i-AI Train Hub inikeza abasebenzisi inkundla engenamthungo nephumelelayo yokwakha, ukuqeqesha, nokuthuthukisa amamodeli e-AI ngokuqondile kuma-smartphone abo.
Lolu hlelo lokusebenza lunika abasebenzisi amandla okuqalisa, ukuqapha, nokwenza ngokwezifiso izikhathi zokuqeqesha, okubenza bakwazi ukuthuthukisa amamodeli e-AI afanelana nezidingo zabo ezithile—konke ngaphandle kokudinga ukufinyelela ezinsizeni zokubala ezinamandla. Ngesixhumi esibonakalayo esinembile, abasebenzisi bangaphatha okokufaka kwedatha, amapharamitha emodeli alungise kahle, futhi babone inqubekelaphambili yokuqeqeshwa kwesikhathi sangempela, banikeze ulwazi olunzulu futhi olusebenziseka kalula kubo bobabili abathanda izimfundamakhwela nabanolwazi lwe-AI.
Ukusetshenziswa kwe-AI Train Hub ekucubunguleni kudivayisi akuqinisekisi nje kuphela ubumfihlo bedatha nokuphepha kodwa futhi kuthuthukisa ukufinyeleleka ngokususa ukuncika kumaseva angaphandle noma izingxenyekazi zekhompyutha ezikhethekile zokuqeqeshwa kwemodeli ye-AI. Le ndlela yokuphazamisa yenza intando yeningi ukuthuthukiswa kwe-AI, ivumele abantu abavela ezizindeni ezihlukahlukene ukuthi bahlanganyele ekwakhiweni kwamamodeli okufunda emishini ayinkimbinkimbi ngokuqondile kuma-smartphone abo.
Empeleni, i-AI Train Hub imele ukushintsha kwepharadigm ekuqeqesheni imodeli ye-AI, ukufinyelela kwentando yeningi kumakhono okufunda komshini ngokusebenzisa amandla acashile ama-smartphone processors nge-TensorFlow Lite, okwenza ukuthuthukiswa kwe-AI kufinyeleleke kakhudlwana, kusebenze kahle, futhi kugxile kumsebenzisi.
Ikhono lobuchwepheshe bohlelo lokusebenza lilele ekusetshenzisweni kwalo kwe-TensorFlow Lite, uhlaka oluphambili olwaziwayo ngokusebenza kahle kwalo ekukhipheni amamodeli okufunda omshini kumadivayisi eselula kanye nawonqenqema. Ngokungena kulobu buchwepheshe, i-AI Train Hub inikeza abasebenzisi inkundla engenamthungo nephumelelayo yokwakha, ukuqeqesha, nokuthuthukisa amamodeli e-AI ngokuqondile kuma-smartphone abo.
Lolu hlelo lokusebenza lunika abasebenzisi amandla okuqalisa, ukuqapha, nokwenza ngokwezifiso izikhathi zokuqeqesha, okubenza bakwazi ukuthuthukisa amamodeli e-AI afanelana nezidingo zabo ezithile—konke ngaphandle kokudinga ukufinyelela ezinsizeni zokubala ezinamandla. Ngesixhumi esibonakalayo esinembile, abasebenzisi bangaphatha okokufaka kwedatha, amapharamitha emodeli alungise kahle, futhi babone inqubekelaphambili yokuqeqeshwa kwesikhathi sangempela, banikeze ulwazi olunzulu futhi olusebenziseka kalula kubo bobabili abathanda izimfundamakhwela nabanolwazi lwe-AI.
Ukusetshenziswa kwe-AI Train Hub ekucubunguleni kudivayisi akuqinisekisi nje kuphela ubumfihlo bedatha nokuphepha kodwa futhi kuthuthukisa ukufinyeleleka ngokususa ukuncika kumaseva angaphandle noma izingxenyekazi zekhompyutha ezikhethekile zokuqeqeshwa kwemodeli ye-AI. Le ndlela yokuphazamisa yenza intando yeningi ukuthuthukiswa kwe-AI, ivumele abantu abavela ezizindeni ezihlukahlukene ukuthi bahlanganyele ekwakhiweni kwamamodeli okufunda emishini ayinkimbinkimbi ngokuqondile kuma-smartphone abo.
Empeleni, i-AI Train Hub imele ukushintsha kwepharadigm ekuqeqesheni imodeli ye-AI, ukufinyelela kwentando yeningi kumakhono okufunda komshini ngokusebenzisa amandla acashile ama-smartphone processors nge-TensorFlow Lite, okwenza ukuthuthukiswa kwe-AI kufinyeleleke kakhudlwana, kusebenze kahle, futhi kugxile kumsebenzisi.
Kubuyekezwe ngo-
Ukuphepha kuqala ngokuqonda ukuthi onjiniyela baqoqa futhi babelane kanjani ngedatha yakho. Ubumfihlo bedatha nezinqubo zokuphepha zingahluka kuye ngokusebenzisa kwakho, isifunda, nobudala. Unjiniyela unikeze lolu lwazi futhi angalubuyekeza ngokuhamba kwesikhathi.
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Izilinganiso nezibuyekezo
3.6
792 izibuyekezo
Yini entsha
Fix bug
Improve performance
Improve performance
Ukusekelwa kwe-app
Mayelana nonjiniyela
Pham Xuan Duong
xduong1610@gmail.com
Vietnam
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