I-DjVu kanye Nokuxhumana kwayo nokufunda okujulile (2023): Odinga Ukukwazi

I-DjVu ifomethi yedokhumenti ecindezelwe ekuqaleni eyenzelwe amadokhumenti askeniwe nezinqolobane zedijithali, futhi ukuxhumana kwayo nokufunda okujulile kuye kwavela njengenye yezindlela eziphoqelela kakhulu ekucutshungulweni kwemibhalo eqhutshwa yi-AI yesimanje. Njengoba izindlela zokufunda zomshini zikhula ziba yinkimbinkimbi, izakhiwo ze-DjVu nezindlela zokufaka ikhodi seziphenduke isizinda sokuqeqesha esibalulekile kanye nezinjongo zokuphakela zamasistimu enethiwekhi ye-neural aphatha ukufakwa kwedijithali kwemibhalo ngezinga elikhulu.

Iyini Kahle I-DjVu futhi Kungani Ibalulekile Esikhathini Se-AI?

DjVu (ebizwa ngokuthi "déjà vu") yathuthukiswa ngasekupheleni kwawo-1990 e-AT&T Labs njengesixazululo senkinga eqhubekayo: uwagcina kanjani futhi uwadlulisele kanjani amadokhumenti askeniwe anokulungiswa okuphezulu ngaphandle kokudela ikhwalithi? Ifomethi isebenzisa indlela yokucindezela enezingqimba ehlukanisa idokhumenti ibe ngaphambili (umbhalo, ubuciko bomugqa), ingemuva (isithombe sombala), kanye nezingqimba (zedatha yomumo). Isendlalelo ngasinye sicindezelwa ngokuzimela kusetshenziswa ama-algorithms akhethekile.

Okwenza i-DjVu ifaneleke kakhulu namuhla ukuthi lokhu kuhlakazeka kwezendlalelo eziningi kukhombisa isici se-hierarchical esichaza izakhiwo zokufunda ezijulile. Amanethiwekhi e-Convolutional neural (CNNs), ngokwesibonelo, acubungula izithombe ngokuhlonza imiphetho, bese kuba izimo, bese kuba izakhiwo ezisezingeni eliphezulu - ukuqhubeka okufana ngendlela emangalisayo nendlela i-DjVu ehlukanisa ngayo imibhalo ibe izinto zokuqala ezibonakalayo. Lokhu kufana kwesakhiwo akukhona nje kwezemfundo; kunomthelela ongokoqobo wokuthi amasistimu e-AI aqeqeshelwa kanjani ukufunda, ukuhlukanisa, nokukhipha incazelo emibhalweni yomlando.

Aqeqeshwa Kanjani Amamodeli Okufunda Okujulile Kungobo yomlando ye-DjVu?

Imitapo yolwazi emikhulu — okuhlanganisa ne-Internet Archive, ephethe izigidi zamafayela e-DjVu — isiphenduke izimayini zegolide zokuqeqesha ukuqashelwa kohlamvu olubonakalayo (OCR) namamodeli okuqonda amadokhumenti. Abacwaningi abafunda ngokujulile basebenzisa izingobo zomlando ze-DjVu ngenxa yokuthi ifomethi ilondoloza imininingwane emihle yokubhalwa kwezinhlamvu ngisho nasezilinganisweni zokuminyanisa okwedlulele, okuyenza ibe ngcono kunezikena ezilahlekile ze-JPEG zemisebenzi yokufunda egadiwe.

Amamodeli asekelwe ku-transformer yesimanje njenge-LayoutLM ne-DocFormer acutshungulwe kahle kumadathasethi afaka okuqukethwe okuvela ku-DjVu. Lawa mamodeli afunda ukuhlobanisa ukwakheka kwendawo nencazelo ye-semantic — ukuqonda ukuthi unhlokweni ogqamile ubonisa ukubaluleka noma ukuthi ukuhlukana kwekholomu kubonisa ushintsho lwesigaba. Ukuhlukaniswa kwesendlalelo esihlanzekile kwe-DjVu kwenza isichasiselo seqiniso eliphansi sibe lula kakhulu, kunciphisa ukulebula okuphezulu okuhlupha amapayipi amaningi okuqeqesha ukubona ikhompuyutha.

"Ifilosofi yezokwakha ye-DjVu yokubola inkimbinkimbi ibe izendlalelo ezilawulekayo, ezithuthukisiwe iwumgomo lowo ukufunda okujulile kwaphinde kwatholwa emashumini eminyaka kamuva - futhi ukusebenzisana phakathi kwalokhu kokubili kuveza impumelelo ekuhlakanipheni kwedokhumenti okwakungacatshangwa ngenkathi ifomethi ikhishwa okokuqala."

Iziphi Izicelo Ezisebenzayo Zezinhlelo Zokufunda Ezijulile Ezinolwazi lwe-DjVu?

Umthelela womhlaba wangempela wokuhlanganisa izingobo zomlando ze-DjVu nokufunda okujulile usuvele uzwakala kuzo zonke izimboni eziningi. Izinhlelo zokusebenza ezibalulekile zifaka:

• Ukufakwa kwedijithali kwedokhumenti yomlando: Izikhungo ezinjengemitapo yolwazi kazwelonke nezinqolobane zezemfundo zisebenzisa i-DjVu eqeqeshwe i-AI ukuze zenze ukulotshwa ngokuzenzakalelayo kwemibhalo ebhalwe ngesandla ebhalwe ngesandla, amarekhodi omthetho, nemibhalo eyivelakancane engathatha amashumi eminyaka ekhathalogi yabantu ukuthi icutshungulwe mathupha.
• Ukuhlaziywa kwemibhalo yezomthetho nokuhambisana: Izinkampani zomthetho nezikhungo zezezimali zisebenzisa amamodeli aqeqeshwe emitapweni yolwazi yenkontileka etholakala ku-DjVu ukuze kukhishwe izigaba, ukuhlonza ulimi oluyingozi, kanye nezindaba zokulawula amafulegi ngezinga elikhulu.
• Ukucubungula amarekhodi ezokwelapha: Amasistimu okunakekelwa kwezempilo aguqula amafayela esiguli ayifa agcinwe ngefomethi ye-DjVu abe amarekhodi ezempilo kagesi ahlelekile, aseshekayo kusetshenziswa amapayipi e-AI agcina izichasiselo zokuxilonga namanothi abhalwe ngesandla.
• Ukusheshiswa kocwaningo lwezemfundo: Ososayensi basebenzisa izinhlelo zokufunda ezijulile eziqeqeshwe ezinqolobaneni zejenali yesayensi (eziningi ezisatshalaliswa njenge-DjVu) ukuze benze ukubuyekezwa kwezincwadi ngezinga elikhulu, ukuhlaziya inethiwekhi yengcaphuno, kanye nokwenza inkolelo-mbono.
• Ukushicilela nokuphathwa kokuqukethwe: Izinkampani zemidiya zenza ukumaka imethadatha ngokuzenzakalelayo, ukuphathwa kwamalungelo, nokuhloswe kabusha kokuqukethwe ngokucubungula imitapo yazo yomlando ye-DjVu ngamamodeli okuqonda amadokhumenti.

Iziphi Izinselelo Ukufunda Okujulile Okubhekana Nazo Lapho Ucubungula Amafayela e-DjVu?

Ngaphezu kokubambisana okuthembisayo, izithiyo ezinkulu zobuchwepheshe zisekhona. Ikhodekhi yokucindezela yobunikazi ye-DjVu isho ukuthi amanethiwekhi we-neural eluhlaza awakwazi ukucubungula ifomethi ngokomdabu — amadokhumenti kufanele aqale aqoshwe futhi ahlelwe kabusha ngaphambi kokuphakelwa kumamodeli asekelwe ezithombeni ajwayelekile. Lesi sinyathelo sokukhipha amakhodi sethula ukubambezeleka kokucubungula kusengaphambili kanye nokuwohloka kwekhwalithi okungaba khona uma amapharamitha angashuniwe ngokucophelela.

Ukwengeza, isakhiwo esinezendlalelo eziningi esenza i-DjVu isebenze kahle kangaka kubafundi abangabantu siletha inselele yamapayipi okufunda ajulile ekugcineni ukuya ekugcineni. Ama-transformer amaningi ombono alindele i-tensor yesithombe esisodwa esihlanganisiwe; ukuphakela ingaphambili nesendlalelo sangemuva ngokuhlukana kudinga izakhiwo zangokwezifiso noma izendlalelo ezihlanganisiwe ezengeza ubunkimbinkimbi bemodeli. Abacwaningi bahlola ngenkuthalo izindlela zokunaka ezingase zisebenze ngokwemvelo izethulo ezibolile ze-DjVu, ezingavula izinzuzo ezibalulekile ekusebenzeni kahle kokucubungula amadokhumenti ngezinga elikhulu.

Liphetheni Ikusasa Le-DjVu kanye Ne-Neural Document Processing?

Uma ubheka phambili, i-trajectory icacile: njengoba amamodeli okufunda ajulile eba namandla futhi asebenza kahle, izingobo zomlando ezinkulu zemibhalo ye-DjVu zizofinyeleleka futhi zibe yigugu nakakhulu. Amamodeli olimi amakhulu ahlukahlukene angacubungula kanyekanye umbhalo, isakhiwo, nokuqukethwe kwesithombe aseqala ukuphatha ukuqonda kwedokhumenti njengomsebenzi obumbene esikhundleni sokuthatha izinyathelo ezihlukene.

Ukunyuka kwezinhlelo ze-retrieval-augmented generation (RAG) futhi kubeka izingobo zomlando ze-DjVu njengezisekelo zolwazi olubalulekile. Izinhlangano ezitshala imali manje ekuguquleni nasekukhombeni amaqoqo azo e-DjVu zizoba nesiqalo esibalulekile ekukhipheni abasizi be-AI bebhizinisi abangaphendula imibuzo esekelwe olwazini lwesikhungo oluthatha amashumi eminyaka.

Imibuzo Evame Ukubuzwa

Ngingakwazi ukuguqula amafayela e-DjVu abe amafomethi ahambisana namathuluzi esimanje e-AI?

Yebo. Amathuluzi omthombo ovulekile njenge-DjVuLibre neziguquli zezentengiso zingakwazi ukunquma amafayela e-DjVu abe amafomethi e-PDF, TIFF, noma e-PNG asekelwa ngokomdabu izinhlaka eziningi zokufunda ezijulile. Ngokucutshungulwa kwenqwaba, amapayipi omugqa womyalo angenza ukuguqulwa ngokuzenzekelayo kuzo zonke izingobo zomlando, nakuba kufanele uqinisekise ikhwalithi yokuphumayo kusampula emele ngaphambi kokwenza ukuguqulwa kwesilinganiso esikhulu.

Ingabe i-DjVu isathuthukiswa ngokuqhubekayo noma iyifomethi yefa?

I-DjVu ngokuyinhloko iyifomethi yefa kuleli phuzu, ukuthuthukiswa okusebenzayo kumiswe kakhulu kusukela maphakathi nawo-2000s. Kodwa-ke, isasetshenziswa kabanzi kuma-ecosystem welabhulali yedijithali ngenxa yomthamo omkhulu wokuqukethwe okukhona okugcinwe kufomethi. Ukufunda okujulile kunikeza ngempumelelo i-DjVu impilo yesibili ngokuyenza ibe namandla ngokwezomnotho ukukhipha nokusebenzisa ulwazi olukhiyiwe kulezi zingobo zomlando.

Ingabe ukuminyanisa kwe-DjVu kuqhathaniswa kanjani ne-PDF ngedatha yokuqeqeshwa kokufunda okujulile?

I-DjVu ngokuvamile ifinyelela ukuminyaniswa okungcono okungu-5–10x kune-PDF kumadokhumenti askeniwe kuyilapho ilondoloza ukuthembeka okubonakalayo okuphezulu kumasayizi alinganayo wamafayela. Lokhu kwenza amasethi edatha atholakala ku-DjVu agcine ngendlela efanele amapayipi okuqeqesha, nakuba ukwesekwa okungajwayelekile kwefomethi kusho ukuthi kudingeka amathuluzi okucubungula ngaphambilini uma kuqhathaniswa ne-ecosystem ye-PDF etholakala yonke indawo.

Ukuphatha amathuluzi, ukugeleza komsebenzi, nezinhlelo zolwazi ezinika amandla imisebenzi yesimanje eqhutshwa yi-AI - kusukela ekucutshungulweni kwedokhumenti ukuya ekuphathweni kokuqukethwe - kudinga inkundla eyakhelwe inkimbinkimbi esikalini. I-Mewayz iyisistimu yokusebenza yebhizinisi engamamojula angu-207 ethenjwa abasebenzisi abangaphezu kuka-138,000 ukuze baxhumanise zonke izici zenhlangano yabo, kusukela ku-$19/ngenyanga. Kungakhathaliseki ukuthi usebenzisa idijithali izingobo zomlando, uguqulela ukugeleza komsebenzi ngokuzenzakalelayo, noma izisekelo zolwazi zokwakha ezixhaswe i-AI yakamuva, i-Mewayz ikunikeza ingqalasizinda ukuze ukwenze konke endaweni eyodwa.

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