Amamodeli angu-5 Omthombo Ovulekile we-Omni AI Aphethe Umbhalo, Izithombe, Umsindo, nevidiyo
# Isingeniso
Ngonyaka odlule, amamodeli we-omni AI azizwa njengesithembiso sesikhathi esizayo kunokuthile onjiniyela ababengakusebenzisa. Amasistimu amaningi e-multimodal ayesancike kumamodeli amaningi ahlukene asebenza ngemuva kwezigcawu: enye ngeyombhalo, enye ngezithombe, enye eyokukhuluma, futhi kwesinye isikhathi enye ngevidiyo. Umqondo wemodeli eyodwa ongaqonda izinhlobo zokufakwayo ezahlukene futhi uphendule kuwo wonke amafomethi ahlukene uzizwe unesifiso sokuvelela.
Lokho sekuqala ukushintsha. Namuhla, amamodeli omthombo ovulekile we-omni nawe-multimodal angaqonda umbhalo, izithombe, umsindo, nevidiyo ngendlela ebumbene kakhulu. Abanye bangahlaziya izithombe namadokhumenti, balobe noma bacabange ngomsindo, baqonde ozimele bevidiyo, futhi baphendule ngombhalo. Abanye baya phambili ngokukhiqiza inkulumo, izithombe, noma ukusekela ukusebenzisana kwesikhathi sangempela kwezindlela eziningi.
Kulo mhlahlandlela, sizobheka amamodeli amahlanu omthombo ovulekile we-omni AI aphusha lesi sikhala siye phambili. Akuwona wonke amamodeli akulolu hlu oluyisistimu egcwele “noma yikuphi-noma yikuphi”, futhi lowo mehluko ubalulekile.
Amanye amamodeli amukela izinhlobo eziningi zokufakwayo kodwa akhiqiza umbhalo kuphela, kuyilapho amanye esekela inkulumo, ukukhiqizwa kwezithombe, noma ukusebenzisana kwesikhathi sangempela somsindo nevidiyo. Umgomo ukukusiza ukuthi uqonde ukuthi imodeli ngayinye ingenzani ngempela.
# 1. I-NVIDIA Nemotron 3 Nano Omni 30B A3B Ukubonisana
I-NVIDIA Nemotron 3 Nano Omni 30B A3B Ukubonisana iyimodeli enamandla ye-omni evulekile eyenzelwe ukuqonda kwe-multimodal yebhizinisi. Ingakwazi ukucubungula ividiyo, umsindo, izithombe, nombhalo, bese ikhiqiza izimpendulo ezisekelwe emibhalweni.
Lokhu kwenza kube usizo emisebenzini efana nokuhlaziywa kwevidiyo nenkulumo, ubuhlakani bedokhumenti, ukucabanga kweshadi, ukuqashelwa kohlamvu olubonakalayo (OCR), okulotshiweyo, ukuqonda okubonakalayo komsebenzisi (i-GUI), kanye nokuphendula imibuzo ye-multimodal.
Isithombe esisuka Kwethulwa i-NVIDIA Nemotron 3 Nano Omni
Imodeli yakhelwe phezu kwe-31B-parameter ye-Mamba2-Transformer hybrid Mixture-of-Experts, enemingcele esebenzayo engaba ngu-3B ngethokheni ngayinye. Lokhu kuyisiza ukuhlanganisa amandla okucabanga aqinile nokuqagela okusebenza kahle kakhulu.
Iphinde isekele iwindi elide lomongo wethokheni engu-256K, ikwenze ifaneleke ukuhlaziya amadokhumenti amade, imibhalo enwetshiwe, ukurekhodwa kwemihlangano, amavidiyo okuqeqesha, nokunye okuqukethwe kwebhizinisi elicebile.
Okwenza i-Nemotron 3 Nano Omni igqame ukugxila kwayo ekusebenzeni kokugeleza komsebenzi wangempela emhlabeni kunamademo alula we-multimodal. Idizayinelwe izimo zokusebenzisa njengokwesekwa kwamakhasimende, ukuhlaziya imidiya, ukubuyekezwa kwedokhumenti, abasizi be-AI, ama-ejenti wesiphequluli, ama-ejenti we-imeyili, kanye ne-GUI automation.
Kulungele: ukuhlaziya ividiyo nenkulumo, ubuhlakani bamadokhumenti, i-OCR, ukuqonda ishadi, ukuhamba komsebenzi kwe-GUI, ukuqashelwa kwenkulumo okuzenzakalelayo (ASR), kanye ne-Q&A yebhizinisi ehlukahlukene.
# 2. I-Google Gemma 4 12B IT
I-Google Gemma 4 12B IT iyingxenye yomndeni wemodeli ye-Gemma evulekile ye-Google DeepMind futhi yakhelwe njengemodeli ehlangene, esebenza kahle ye-multimodal yezinhlelo zokusebenza ze-AI zasendaweni nezizibambele wena. Ingakwazi ukucubungula umbhalo, izithombe, umsindo, nokokufaka kwevidiyo, bese ikhiqiza izimpendulo ezisekelwe embhalweni.
Lokhu kukwenza kube usizo emisebenzini efana nokuphendula imibuzo ebonakalayo, idokhumenti nokuqonda kwe-PDF, i-OCR, ukuqonda ishadi, ukuloba okulalelwayo, ukuhumusha inkulumo, ukubhala ngekhodi, ukucabanga, nokugeleza komsebenzi komsizi we-multimodal.
Isithombe esivela ku-InfoQ
Imodeli ye-12B Unified iyathakazelisa kakhulu ngoba isebenzisa i-encoder-free multimodal architecture. Esikhundleni sokuthembela ekuboneni okuhlukile noma kuzifaki khodi zomsindo, ikhiqiza amapeshi ezithombe ezingahluziwe namagagasi omsindo ngokuqondile endaweni yokushumeka yemodeli yolimi ngokusebenzisa izendlalelo zomugqa ezingasindi.
I-Gemma 4 12B isekela iwindi elide lomongo wethokheni engu-256K, eliwusizo ekusebenzeni ngamadokhumenti amade, izisekelo zekhodi ezinkulu, izingxoxo ezinwetshiwe, nokokufaka kwe-multimodal okuhlanganisa umbhalo, izithombe, umsindo, namafreyimu wevidiyo.
Kulungele: abasizi be-multimodal abaphumelelayo, ukuqonda amadokhumenti, ukucabanga kwesithombe nomsindo, ukuhlaziya uhlaka lwevidiyo, ukubhala amakhodi, imisebenzi yezilimi eziningi, nezinhlelo zokusebenza ze-AI zasendaweni.
# 3. Qwen3-Omni 30B A3B Iyalela
Qwen3-Omni 30B A3B Iyalela ingenye yamamodeli we-omni avuleke kakhulu atholakalayo namuhla. Idizayinelwe njengemodeli yomdabu esuka ekupheleni ukuya-ekupheleni yezilimi eziningi ze-omni-modal engacubungula umbhalo, izithombe, umsindo, nevidiyo, bese iphendula kukho kokubili umbhalo nenkulumo yemvelo.
Lokhu kwenza kube usizo ekwakheni abasizi be-AI abangakwazi ukubona, ukulalela, ukuqonda, nokuphendula ngesikhathi sangempela. Ingasetshenziselwa ukunakwa kwenkulumo, ukuhumusha inkulumo, amazwibela omsindo, ukuhlaziya umculo, i-OCR, ukuphendula imibuzo yesithombe, ukuqonda ividiyo, kanye nengxoxo yomsindo nokubukwayo.
Isithombe esivela ku-Qwen/Qwen3-Omni-30B-A3B-Instruct
Imodeli isebenzisa i-Architecture ye-Mixture-of-Experts enomklamo we-Thinker-Talker. I-Thinker iphatha ukuqonda nokucabanga ngezindlela eziningi, kuyilapho Isikhulumi sivumela ukuphuma kwenkulumo yemvelo. Lo mklamo usiza i-Qwen3-Omni ukusekela kokubili ukucabanga okujulile kwe-multimodal kanye nokusebenzisana okukhulunywayo okungabambeki kancane.
Enye yamandla ayo amakhulu ukusebenzisana komsindo nevidiyo ngesikhathi sangempela. Ngokungafani namamodeli amaningi e-multimodal asebenza ngefomethi yokulayisha nokuphendula ehamba kancane, i-Qwen3-Omni yakhelwe ukusakaza izimo zokusebenzisa ngokushintshashintsha kwemvelo kanye nezimpendulo ezisheshayo zombhalo noma zenkulumo.
Futhi inokusekelwa okuqinile kwezilimi eziningi, ngezilimi zombhalo eziyi-119, izilimi zokufaka inkulumo eziyi-19, nezilimi eziyi-10 zokukhipha inkulumo. Lokhu kuyenza isebenziseke kakhulu ezinhlelweni zomhlaba jikelele, abasizi bezwi abakhuluma izilimi eziningi, amathuluzi okufinyelela, namasistimu alalelwayo namavidiyo adinga ukusebenza ngezilimi ezahlukene.
Okwenza i-Qwen3-Omni igqame ukuthi isondela kangakanani emcabangweni womsizi wangempela we-omni. Ayiqondi kuphela izinhlobo zokufaka eziningi; ingase futhi ikhiqize inkulumo yemvelo, ilandele ukwaziswa kwesistimu, isekele ukugeleza komsebenzi okufana ne-ejenti, futhi isingathe imisebenzi eyinkimbinkimbi yokulalelwayo nokubukwayo.
Kulungele: abasizi be-omni abavulekile, ukusebenzisana kwenkulumo ngesikhathi sangempela, ukuqonda ngevidiyo, ukucabanga okulalelwayo, izinhlelo zokusebenza ngezilimi eziningi, inkhulumomphendvulwano yomsindo nokubukwayo, kanye nezimpendulo zombhalo/inkulumo.
# 4. I-DeepSeek Janus-Pro 7B
I-DeepSeek Janus-Pro 7B iyimodeli ehlanganisiwe ye-multimodal egxile kukho kokubili ukuqonda okubonakalayo nokukhiqizwa kwesithombe. Akuyona imodeli ye-omni egcwele yombhalo, umsindo, isithombe, nevidiyo, kodwa iyimodeli evulekile ebalulekile ngoba iletha ukuqonda kwesithombe nokudalwa kwesithombe ohlakeni olulodwa.
Lokhu kuyenza isebenziseke emisebenzini efana nokuphendula imibuzo ebonakalayo, ukucabanga ngesithombe, amagama-ncazo wesithombe, ukukhiqizwa kombhalo uye kwesithombe, kanye nokugeleza kokusebenza kokudala okuhlukahlukene.
I-Janus-Pro yakhelwe ku-DeepSeek-LLM-7B futhi isebenzisa uhlaka lwenoveli oluzenzakalelayo oluhlukanisa umbhalo wekhodi obonakalayo ube izindlela ezihlukene zokuqonda nokwenza. Lo mklamo usiza ukuxazulula inkinga evamile kumamodeli we-multimodal, lapho isifaki khodi esifanayo esibonakalayo kufanele sisekele kokubili ukubona isithombe nokukhiqiza esisha.
Isithombe esivela ku: deepseek-ai/Janus-Pro-7B
Ukuze uthole ukuqonda kwesithombe, i-Janus-Pro isebenzisa i-SigLIP-L njengesishumeki sombono futhi isekela okokufaka kwesithombe okungu-384 x 384. Ukukhiqiza isithombe, kusetshenziswa ithokheni yesithombe esizinikezele, okuvumela imodeli ukuthi ikhiqize izithombe kusuka emiyalweni yombhalo.
Okwenza i-Janus-Pro igqame ukwakheka kwayo okulula kodwa okusebenzayo. Ngokuhlanganisa ukuqonda okubonakalayo kanye nesizukulwane esibonakalayo ngenkathi usebenzisa isiguquli esihlanganisiwe, imodeli iba nezimo futhi yenza kahle kuyo yomibili imisebenzi.
Kulungele: ukuqonda isithombe, ukucabanga okubonakalayo, amagama-ncazo wesithombe, impendulo yemibuzo ebonakalayo, nokukhiqizwa kombhalo kuya kwesithombe.
# 5. I-MiniCPM-o 4.5
I-MiniCPM-o 4.5 ingenye yamamodeli e-omni avulekele ajabulisa kakhulu ngoba yakhelwe ukubona, inkulumo, kanye nokusakaza bukhoma okuphindwe kabili kwe-multimodal. Ingakwazi ukucubungula umbhalo, izithombe, ividiyo, nomsindo, bese ikhiqiza kokubili okuphumayo kombhalo nenkulumo.
Lokhu kwenza kube usizo ekwakheni abasizi be-AI bukhoma abangakwazi ukubona, ukulalela, nokukhuluma ngesikhathi esisodwa. Ingasetshenziselwa ingxoxo yezwi yesikhathi sangempela, ukuqonda kwevidiyo, i-OCR, ukucozulula amadokhumenti, ukuphendulwa kwemibuzo ebonakalayo, ukusebenzelana kwenkulumo, nokugeleza komsebenzi komsizi we-multimodal.
Imodeli yakhiwe ngesamba samapharamitha angu-9B futhi ihlanganisa izingxenye ezifana ne-SigLIP2, i-Whisper-medium, i-CosyVoice2, ne-Qwen3-8B. Lokhu kuyinikeza amandla okubona aqinile, okukhuluma, nawolimi kuyilapho igcina imodeli incane ngokwanele ukuze isetshenziswe endaweni.
Isithombe esivela ku-openbmb/MiniCPM-o-4_5
Okwenza i-MiniCPM-o 4.5 igqame ikhono layo lokusakaza le-multimodal eline-duplex eligcwele. Ngokungafani namamodeli e-multimodal endabuko alinda ukulayishwa ngaphambi kokuphendula, i-MiniCPM-o 4.5 ingacubungula ukusakazwa kwevidiyo nomsindo okuqhubekayo kuyilapho ikhiqiza izimpendulo zombhalo nezenkulumo ngesikhathi esisodwa.
Ingase futhi isekele ukusebenzisana okusebenzayo. Lokhu kusho ukuthi imodeli ingabuka ngokuqhubekayo isigcawu esibukhoma futhi inqume ukuthi izokhuluma nini, ibeke amazwana, noma iphendule nini, esikhundleni sokusabela kuphela ngemva kokuba umsebenzisi enikeze ukwaziswa okuqondile.
I-MiniCPM-o 4.5 nayo iqinile ekuqondeni okubonakalayo naku-OCR. Ingakwazi ukucubungula izithombe ezinokulungiswa okuphezulu, amavidiyo e-FPS ephezulu, namadokhumenti ngezici ezihlukene, ikwenze kube usizo ekuhlukaniseni amadokhumenti, ukuqonda isikrini, nezinhlelo zokusebenza ze-AI ezibukwayo zomhlaba wangempela.
Enye inzuzo enkulu ukuguquguquka kokuthunyelwa. Imodeli isekela I-PyTorch Incazelo kuma-NVIDIA GPUs, kanye llama.cpp, U-Ollama, I-GGUF amamodeli ahlanganisiwe, i-vLLMfuthi I-SGlang. Lokhu kwenza kube lula konjiniyela ukuthi basebenzise imodeli endaweni kuma-GPU, ama-PC, kanye namadivayisi athile asemaphethelweni.
Kulungele: abasizi be-multimodal besikhathi sangempela, ividiyo ebukhoma nomsindo wokuqonda, ukusebenzisana kwenkulumo, i-OCR, ukucozulula amadokhumenti, i-AI enqenqemeni, nezinhlelo zokusebenza ze-omni-modal eziyiduplex egcwele.
# Imicabango yokugcina
Amamodeli e-Omni aba abaluleke kakhulu njengoba i-AI isuka kuma-chatbots alula iye kumasistimu abantu bangempela abangawasebenzisa ezimeni zomhlaba wangempela. Ekugelezeni komsebenzi kwansuku zonke, ulwazi aluzi ngefomethi eyodwa kuphela. Abantu basebenzisa umbhalo, izithombe, amadokhumenti, umsindo, ividiyo, izithombe-skrini, imihlangano, amashadi, nezingxoxo ezibukhoma. Ukuze i-AI ibe usizo ngempela, idinga ukuqonda konke lokhu okokufaka ngokwemvelo.
Esikhathini esedlule, ukwakha lolu hlobo lwesistimu ngokuvamile kwakusho ukuhlanganisa amamodeli amaningi: eyodwa yenkulumo, eyodwa yombono, enye ye-OCR, enye eyokubonisana ngombhalo, nenye isizukulwane. Leyo ndlela iyasebenza, kodwa yengeza ubunkimbinkimbi, ukubambezeleka, nokunye okungaphezulu kobunjiniyela. Yonke imodeli eyengeziwe inyusa inani lezingxenye ezihambayo okudingeka ziphathwe onjiniyela.
Ukushintsha esikubonayo manje kuhlukile. Amakhono engeziwe akhiwa ngokuqondile kumodeli ngokwayo. Esikhundleni sokuxhuma amasistimu amaningi ahlukene ndawonye, amamodeli we-omni aqala ukuqonda izindlela eziningi ngaphakathi kwesakhiwo esisodwa. Lokhu kwenza ukusebenzisana kwesikhathi sangempela kusebenze kakhulu, ngoba imodeli ingabona, ilalele, icabange, futhi iphendule ngokubambezeleka okuphansi kakhulu.
Lokhu kubaluleke kakhulu kubasizi be-AI bukhoma, ama-ejenti wezwi, amathuluzi okuhlaziya ividiyo, izinhlelo zobuhlakani bamadokhumenti, amathuluzi okufinyeleleka, nokugeleza komsebenzi kwe-ejenti. Uma ukuqonda kwe-multimodal yakhelwe kumodeli, umuzwa uba bushelelezi futhi ube ngokwemvelo kumsebenzisi.
Abid Ali Awan (@1abidiawan) uchwepheshe wesayensi yedatha othanda amamodeli wokufunda womshini wokwakha. Njengamanje, ugxile ekudaleni okuqukethwe nasekubhaleni amabhulogi ezobuchwepheshe ekufundeni komshini kanye nobuchwepheshe besayensi yedatha. U-Abid uneziqu ze-Master's in technology management kanye neziqu ze-bachelor's in telecommunication engineering. Umbono wakhe uwukwakha umkhiqizo we-AI esebenzisa i-graph neural network yabafundi abanenkinga yokugula ngengqondo.
