Roobin.ai Uyasebenza

I-Roobin.ai iyisevisi ye-generative AI nesixazululo sobuchwepheshe samabhizinisi, esiklanyelwe ukwenza kube lula ukuthunyelwa, ukuphathwa nokuhlanganiswa kwe-multimodal AI nezinqubo zebhizinisi. Isekela ukucutshungulwa kwedatha ebonakalayo, yomsindo neyombhalo, futhi inikeza amamodeli amakhulu olimi e-multimodal, i-retrieval-augmented generation, ukuhlanganiswa ne-Azure AI kanye nezinsizakalo eziqhubekayo eziphethwe, okusiza amabhizinisi axhumanise amakhono e-AI nezinqubo zawo zokusebenza ezikhona.

Amaqembu e-AI nokuqamba amasha emabhizinisini

Hlela izinhlelo ze-AI ngama-AI Design Sprint Workshops, uqhubeke ukusuka emcabangweni uye ekusetshenzisweni futhi uthole uxhaso lochwepheshe be-generative AI.

Abaphathi bezinqubo zebhizinisi

Sebenzisa i-generative AI ezimweni zebhizinisi ezinjengokudalwa kokuqukethwe, ukuthuthukiswa kwesofthiwe, izinsiza zabantu, uxhaso lwe-IT nokuhlaziywa kwempendulo yamakhasimende.

Amaqembu e-IT nezinkundla zamafu

Sebenzisa izinsizakalo eziphethwe ezifana nokufaka, ukusebenza, ukuphathwa kwesizindalwazi sama-vector nokuhlanganiswa ne-Azure AI ukuze usekele ukuqaliswa kwezixazululo ze-AI emabhizinisini.

Amaqembu okuphathwa kwedatha nolwazi

Hlanganisa idatha ye-multimodal efana nombhalo, izithombe nomsindo, usebenzise i-multimodal RAG ukuze uthole okuqukethwe okukhiqiziwe okuhambisana kangcono nomongo.

Ukwesekwa kwamamodeli e-multimodal

Isekela ukuhlaziywa nokukhiqizwa kwedatha ebonakalayo, yomsindo neyombhalo, futhi ingaxhuma ku-GPT-4o, Whisper, Dall-E, Meta Llama namamodeli aku-Hugging Face.

Isakhiwo se-multimodal RAG

Isihlanganisa i-retrieval-augmented generation nedatha ehlukahlukene efana nombhalo, izithombe nomsindo ukuze kukhiqizwe okuqukethwe okunembe kakhulu futhi okuhambisana kangcono nomongo.

Ukuhlanganiswa ne-Azure AI

Ihlinzeka ngoxhaso lokuhlanganiswa nenkundla ye-Azure AI, isize amabhizinisi axhumanise amakhono e-generative AI nendawo yawo yokusebenza nezinqubo zebhizinisi ezikhona.

I-workshop ye-AI design sprint

Ama-workshop aholwa ochwepheshe asheshisa ukuqhubeka kwamaphrojekthi e-AI futhi asekele amabhizinisi ukusuka emibonweni nasemicabangweni ye-AI ukuya esigabeni sokusetshenziswa.

Izinsizakalo eziphethwe ze-generative AI

Zihlanganisa ukufakwa, ukusebenza noxhaso oluqhubekayo lwezixazululo ze-AI, kanye nezinsizakalo eziphelele eziphethwe ezenzelwe izidingo zebhizinisi.

Ukuphathwa kwesizindalwazi sama-vector

Ngaphakathi koxhaso oluqhubekayo lwezixazululo ze-generative AI, ihlinzeka ngenkonzo yokuphatha izizindalwazi zama-vector ukuze isekele ukusebenza kwesakhiwo se-retrieval-augmented generation.

Izinsizakalo zokwenza isabelomali sibe ngcono

Ihlinzeka ngoxhaso lwamasu ezezimali olugxile ekutshalweni kwezimali kwe-AI emabhizinisini, isize ukuhlela nokwenza ngcono izabelomali ezihlobene ne-generative AI.

Amakhono ahlanganisiwe e-multimodal

Ihlanganisa ukucutshungulwa kwedatha ebonakalayo, yomsindo neyombhalo, bese ihlanganisa ukwesekwa kwamamodeli e-multimodal nesakhiwo se-multimodal RAG.

Uchungechunge lwezinsizakalo kusukela ekuklanyweni kuya ekusebenzeni

Ihlanganisa i-AI design sprint, ukufaka, ukuthunyelwa, ukusebenza, ukuhlanganiswa noxhaso oluqhubekayo ohlelweni olulodwa lwezinsizakalo zamabhizinisi.

Ukuhlanganiswa okugxile ku-Azure AI

Umkhiqizo uhlinzeka ngokusobala ngoxhaso lokuhlanganiswa kwenkundla ye-Azure AI, ulungele izinhlangano ezidinga ukuxhumanisa i-generative AI nendawo yazo yamafu yebhizinisi.

Izinsizakalo zamaqembu e-generative AI

Ngokuhlinzeka ngoxhaso lwamaqembu ochwepheshe be-generative AI lapho ludingeka, ugcwalisa amakhono angaphakathi ebhizinisi okusebenzisa nokusebenzisa i-AI.

• Ikhasi elisemthethweni: roobin.ai