InoteveraGaidhi rinotevera
Amazon's Item-to-Item Recommendation Injini
Makambani
Makambani GUIDE
Amazon's AI zviitiko zvinosanganisira zvigadzirwa zvevatengi uye AWS masevhisi evagadziri nemasangano.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Mukati meAWS, Amazon Bedrock uye Amazon SageMaker AI inopa zvinodiwa zvakasiyana. Ziva iyo chaiyo sevhisi, modhi mupi, uye deployment kumisikidza usati waenzanisa kugona kana mabasa.
Amazon Bedrock inopa yakagadziriswa mukana kune hwaro modhi uye zvine chekuita nekushandisa kugona. Amazon SageMaker AI inotsigira kuvaka, kudzidziswa, uye kuendesa mhando dzekudzidza muchina. Iwo masevhisi anogona kupindirana mune mamwe mafambiro ebasa, saka shandisa yazvino AWS sarudzo gwara uye sevhisi zvinyorwa zvebasa rakarongwa. Kuwanikwa kwemuenzaniso, maficha anotsigirwa, matunhu, uye zvinodiwa zvekuwana zvinogona kusiyana. Modhi inopihwa kuburikidza nepuratifomu inotungamirwa inogona kuve neakasiyana ekubatanidza ruzivo kubva kune yakananga API yemupi wemodhi. Rekodha iyo yekupedzisira, modhi vhezheni, uye gadziriso inoshandiswa mukuongorora. Ronga mvumo uye data inoyerera kuburikidza neAWS masevhisi anobatanidzwa. Kuchengeta, kudzoreredza, kutema matanda, uye modhi mafoni anogona mumwe nemumwe ane yavo yekutonga. Sevhisi inotungamirwa inoderedza rimwe basa rezvivakwa asi haibvisi mutoro wemuridzi wekushandisa wekuwana mvumo uye kushandisa kwakakodzera data. Ongorora mutengo wakakwana uye maitiro ekushanda, kusanganisira zvikumbiro zvakundikana, zvinodiwa zvekushandisa, kuchengetedza, uye kutamisa. Edzai mumiriri mabasa uye kutadza kubata pamberi pekugadzirwa kwekushandisa. Regedza kubata yakafara cloud-platform chimiro chinyorwa sehumbowo hwekuti chinhu chese chinogoneswa kune imwe account kana dunhu.
04Muenzaniso wakashanda
Fungidzira timu inoda kudaidza iyo iripo hwaro modhi, nepo chimwe timu ichida kudzidzisa uye kutumira mugadziri wetsika.
Nyora kudzidziswa, kushandira, data, uye mashandiro echikwata chega chega usati wasarudza sevhisi.
Prototype nzira inodiwa uye simbisa kuwanikwa kwayo ikozvino pane kutora rimwe AWS zita rechigadzirwa rinopindura zvese zvinodiwa.
Zvazvinoratidza
Mamiriro ezvinhu akagadzirwa anoronga kuenzanisa kwesevhisi pasina kurumbidza kutenga kana kukumbira kuwanikwa kweakaundi chaiyo.
Enzanisa yakagadziriswa hwaro-modhi yekufambisa netsika-yekudzidzira inodiwa.
Simbisa kuwana modhi uye mvumo yedata munzvimbo chaiyo yekutumirwa.
Tsamba yemahara
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Kwete. Vanotsigira zvakasiyana, dzimwe nguva kupindirana kwekushanda. Enzanisa kugona kwavo kwazvino uchipesana nebudiriro chaiyo uye zvinodiwa zvekutumira.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Amazon's Item-to-Item Recommendation Injini
Makambani