I-Contextual AI Enterprise RAG
I-Contextual AI yakha izinhlelo ze-end-to-end retrieval-augmented generation (RAG) zamabhizinisi, ezisungulwe abacwaningi abaqamba igama elithi RAG.
Uhlolojikelele
It matters because it tackles the hardest part of business AI: giving language models accurate, grounded answers from a company's own private documents.
I-Deep Dive
I-Contextual AI yasungulwa ngo-2023 nguDouwe Kiela kanye no-Amanpreet Singh, ababhali abaphambili bephepha lokuqala le-RAG lika-2020 elivela ku-Facebook AI Research. Kunokuba ithengise i-chatbot, inkampani inikeza inkundla ye-RAG ephethwe lapho yonke ingxenye - ukukhishwa, ukubuyisa, ukuhlelwa kabusha, kanye nezinyathelo zokukhiqiza - ishunwa ndawonye njengesistimu eyodwa kunokuba iboshwe. Imodeli yabo yolimi olusekelwe phansi (i-GLM) iqeqeshelwe ukuphendula kuphela ezindimeni ezibuyisiwe kanye nokusho ukuthi ayazi lapho ubufakazi bungekho, okunciphisa imibono engekho emikhakheni elawulwayo njengezezimali, umthetho, nobunjiniyela. Iphuzu liwukuthi amamodeli angekho eshalofini athungelwe kusizindalwazi se-vector enza ngaphansi kokusebenza kwephayiphi eyakhelwe inhloso, ethuthukiswe ngokuhlanganyela kuzisekelo zolwazi lwebhizinisi langempela.
I-Technical Insight
I-RAG Yakudala ishumeka amadokhumenti kuma-vector, ibuyisa izingxenye eziseduze embuzweni, futhi iwahlohle ekwazisweni. I-Contextual AI ilungiselela lonke uchungechunge: isihlungi sedokhumenti esilondoloza amathebula nesakhiwo, indlela yokubuyisa ingxube, imodeli yokuhlela kabusha ehlela kabusha amakhandidethi ngokuhambisana, kanye nomshini okhiqiza amandla osekelwe phansi ohlawuliswa izimangalo ezingasekelwe. Ukushuna lezi zigaba ngokuhlanganyela - esikhundleni sokuphatha ngasinye njengengxenye ehlukile yomthengisi - yilokho okuphakamisa ukunemba kudatha yebhizinisi eminyene, ehlelekile.
I-Strategic Impact
Isu lomthengisi
Imephu yemigwaqo yabathengisi ithonya ukuthi yiziphi izici iqembu lakho elingazakha ngokulandelayo.
Izindleko kanye nesabelomali
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.
Ingozi nokuphepha
Izinxephezelo zenkampani zibumba okuzenzakalelayo komkhiqizo, ukuma kokuphepha, nokuvuleleka.
Ikusasa le-Contextual AI Enterprise RAG
I-RAG ye-Enterprise iyasuka ekuphenduleni imibuzo elula iye ekutholeni i-ejenti, lapho isistimu ihlela ukubhekwa kwezinyathelo eziningi, ibuza ngemininingwane yolwazi ehlelekile eduze kwemibhalo, futhi icaphuna zonke izimangalo. Lindela iziqinisekiso eziqinile, ukuphatha kangcono amashadi namathebula, nezindlela zokuhlola ezenelisa amaqembu okuthobela. Njengoba amamodeli eshibhile, isihlukanisi siba yikhwalithi yokubuyisa kanye nokutholakala kokuqinisekiswa, hhayi usayizi wemodeli eluhlaza - ochwepheshe bezikhundla ezifana ne-Contextual AI ngokumelene nezinkundla zezingxoxo ezijwayelekile.
Ukuqaliswa Komhlaba Wangempela
Abahlaziyi bebhange babuza izinkulungwane zemibiko yocwaningo lwangaphakathi kanye nokufakwa kwemali etholwayo futhi bathole izimpendulo ngezingcaphuno eziqondile ekhasini lomthombo.
Inkampani yonjiniyela isesha amashumi eminyaka ezincwadi zemishini kanye namalogi okulungisa ukuze ihlole amaphutha omshini ngaphandle kokufunda wonke ama-PDF.
Ithimba lomshwalense lihlola amagama enqubomgomo kumakhulukhulu ezinhlobonhlobo zenkontileka ukuze liqinisekise ukuthi isimangalo esithile siyakhava.
Inkampani eyenza imithi ibheka izinqubo zokuhlola zomtholampilo ezifanele kanye nokuhanjiswa okulawulwayo kuyilapho igcina idatha ngaphakathi kwendawo yayo.
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.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Umbhali Enterprise AI
Imibuzo evame ukubuzwa
What is Contextual AI Enterprise RAG?
I-Contextual AI yakha izinhlelo ze-end-to-end retrieval-augmented generation (RAG) zamabhizinisi, ezisungulwe abacwaningi abaqamba igama elithi RAG. Ibalulekile ngoba ibhekana nengxenye enzima kakhulu yebhizinisi i-AI: ukunikeza amamodeli olimi izimpendulo ezinembile, ezisekelwe kumadokhumenti ayimfihlo enkampani.
Imelelani igama elithi RAG?
I-RAG imele i-Retrieval-Augmented Generation, lapho imodeli ithola khona imibhalo efanele ngaphambi kokukhiqiza impendulo.
Kungani ithimba lokusungula i-Contextual AI liphawuleka?
Abasunguli u-Douwe Kiela kanye no-Amanpreet Singh babengababhali abaphambili bephepha lango-2020 elethula i-RAG.
Iyini inhloso enkulu yemodeli yolimi olusekelwe ku-Contextual AI (GLM)?
I-GLM iqeqeshelwe ukuphendula ngokuqinile ezindimeni ezibuyisiwe futhi ivume ukungaqiniseki, yehlise ubungozi bezimpendulo eziqanjiwe.
Senzani isinyathelo sokuhlela kabusha epayipini le-RAG?
Ukuhlela kabusha hlela kabusha izingcezu ezitholiwe ekuqaleni ukuze amaphaseji afaneleka kakhulu afinyelele kujeneretha.
Iyiphi inzuzo i-Contextual AI eyifunayo ngaphezu kwe-chatbot ejwayelekile eboshelwe kusizindalwazi se-vector?
Inkampani ithuthukisa ukuhlukanisa, ukubuyisa, ukuhlela kabusha, kanye nokwenza ndawonye esikhundleni sokuphatha ingxenye ngayinye njengengxenye ehlukile.