Okwe-BMS, BUS, Industrial, Instrumentation Cable.
Njengoba uMkhosi Wasentwasahlobo ufika esiphethweni, isasasa elizungeze i-DeepSeek lihlala liqinile. Iholide yakamuva igqamise umuzwa obalulekile wokuncintisana ngaphakathi kwemboni yezobuchwepheshe, abaningi bexoxa futhi behlaziya le "catfish." ISilicon Valley ibhekene nenkinga engakaze ibonwe: abameli bomthombo ovulekile baveza imibono yabo futhi, futhi ne-OpenAI ihlola kabusha ukuthi isu layo lomthombo ovaliwe bekuyisinqumo esingcono kakhulu. Ipharadigm entsha yezindleko eziphansi zekhompiyutha idale ukusabela kochungechunge phakathi kwama-chip giants afana ne-Nvidia, okuholela ekurekhodeni ukulahleka kwenani lemakethe losuku olulodwa emlandweni wemakethe yamasheya yaseMelika, kuyilapho izikhungo zikahulumeni ziphenya ukuthobela ama-chips asetshenziswa yi-DeepSeek. Phakathi kokubuyekezwa okuxubile kwe-DeepSeek phesheya kwezilwandle, ngaphakathi, ithola ukukhula okumangalisayo. Ngemuva kokwethulwa kwemodeli ye-R1, uhlelo lokusebenza oluhlobene lubone ukwanda kwethrafikhi, okubonisa ukuthi ukukhula emikhakheni yohlelo lokusebenza kuzoqhubekisela phambili yonke i-AI ecosystem. Isici esihle ukuthi i-DeepSeek izonweba amathuba ohlelo lokusebenza, iphakamisa ukuthi ukuthembela ku-ChatGPT ngeke kubize kangako esikhathini esizayo. Lolu shintsho luye lwabonakala emisebenzini yakamuva ye-OpenAI, okuhlanganisa ukuhlinzekwa kwemodeli yokucabanga ebizwa ngokuthi i-o3-mini kubasebenzisi abakhululayo ngokuphendula i-DeepSeek R1, kanye nokuthuthukiswa okwalandela okwenze uchungechunge lokucabanga lwe-o3-mini lwaba sesidlangalaleni. Abasebenzisi abaningi baphesheya kwezilwandle babonise ukubonga ku-DeepSeek ngalezi ntuthuko, nakuba lolu chungechunge lwemicabango lusebenza njengesifinyezo.
Ngethemba, kusobala ukuthi i-DeepSeek ihlanganisa abadlali basekhaya. Ngokugxila ekunciphiseni izindleko zokuqeqesha, abakhiqizi abahlukahlukene bama-chip akhuphukayo, abahlinzeki bamafu abaphakathi nendawo, neziqalo eziningi bajoyina ngenkuthalo i-ecosystem, bathuthukisa ukusebenza kahle kwezindleko zokusebenzisa imodeli ye-DeepSeek. Ngokwamaphepha e-DeepSeek, ukuqeqeshwa okuphelele kwemodeli ye-V3 kudinga amahora angu-2.788 wezigidi ze-H800 GPU kuphela, futhi inqubo yokuqeqesha izinzile kakhulu. Ukwakhiwa kwe-MoE (Ingxube Yochwepheshe) ibalulekile ekwehliseni izindleko zokuqeqeshwa kwangaphambili ngenani eliyishumi uma kuqhathaniswa ne-Llama 3 enamapharamitha ayizigidi eziyizinkulungwane ezingama-405. Njengamanje, i-V3 iyimodeli yokuqala eyaziwa esidlangalaleni ebonisa ubuncane obuphezulu kangaka ku-MoE. Ukwengeza, i-MLA (Multi Layer Attention) isebenza ngokubambisana, ikakhulukazi ezicini zokucabanga. "I-sparser i-MoE, iba nkulu usayizi weqoqwana odingekayo ngesikhathi sokubonisana ukuze kusetshenziswe amandla ekhompyutha ngokugcwele, nosayizi we-KVCache uyisici esibalulekile esikhawulelayo; i-MLA inciphisa kakhulu usayizi we-KVCache," kuphawula umcwaningi waseChuanjing Technology ekuhlaziyeni kwe-AI Technology Review. Sekukonke, impumelelo ye-DeepSeek ilele ekuhlanganisweni kobuchwepheshe obuhlukahlukene, hhayi obubodwa. Abangaphakathi kwemboni batusa amakhono onjiniyela ethimba le-DeepSeek, bephawula ukusebenza kahle kwabo ekuqeqesheni okufanayo nasekuthuthukisweni komsebenzisi, ukuzuza imiphumela eyisizinda ngokucwenga yonke imininingwane. Indlela ye-DeepSeek yomthombo ovulekile iqhubekisela phambili ukuthuthuka okuphelele kwamamodeli amakhulu, futhi kulindeleke ukuthi uma amamodeli afanayo enwebeka abe izithombe, amavidiyo, nokunye okwengeziwe, lokhu kuzoshukumisa kakhulu isidingo embonini yonkana.
Amathuba Wezinsiza Zokubonisana Zenkampani Yangaphandle
Idatha ikhombisa ukuthi selokhu yakhululwa, i-DeepSeek isiqongelele abasebenzisi abasebenzayo nsuku zonke (i-DAU) abayizigidi ezingama-22.15 phakathi nezinsuku ezingama-21 kuphela, yathola u-41.6% wesisekelo sabasebenzisi be-ChatGPT futhi yadlula izigidi eziyi-16.95 zabasebenzisi abasebenzayo nsuku zonke be-Doubao, ngaleyo ndlela ibe uhlelo olukhula ngokushesha emhlabeni wonke, idlula i-Apple App Store emazweni angu-17 Kodwa-ke, ngenkathi abasebenzisi bethutheleka ngobuningi, izigebengu ze-inthanethi bezilokhu zihlasela uhlelo lokusebenza lwe-DeepSeek, okubangela ubunzima obukhulu eziphakelini zayo. Abahlaziyi bemboni bakholelwa ukuthi lokhu kungenxa yokuthi i-DeepSeek ikhiphe amakhadi okuqeqeshwa kuyilapho ingenawo amandla anele okucabanga. Umuntu ongaphakathi embonini wazise i-AI Technology Review, "Izinkinga zeseva ezivamile zingaxazululwa kalula ngokukhokhisa izimali noma ukuxhasa ngezimali ukuthenga imishini eyengeziwe; ekugcineni, kuncike ezinqumweni ze-DeepSeek." Lokhu kuveza ukuhwebelana ngokugxila kwezobuchwepheshe kuqhathaniswa nokukhiqiza. I-DeepSeek ithembele kakhulu ekwakhiweni kwe-quantum ukuze iziphilise, ithole uxhaso oluncane lwangaphandle, okuholela engcindezini ephansi yokugeleza kwemali kanye nendawo yezobuchwepheshe ehlanzekile. Njengamanje, ngenxa yezinkinga ezishiwo ngenhla, abanye abasebenzisi banxusa i-DeepSeek ezinkundleni zokuxhumana ukuthi iphakamise izinga lokusetshenziswa noma yethule izici ezikhokhelwayo ukuze kuthuthukiswe ukunethezeka komsebenzisi. Ukwengeza, onjiniyela baqale ukusebenzisa i-API esemthethweni noma ama-API ezinkampani zangaphandle ukuze kuthuthukiswe. Kodwa-ke, inkundla evulekile ye-DeepSeek isanda kumemezela, "Izinsiza zamanje zeseva ziyindlala, futhi ukushajwa kabusha kwesevisi ye-API kumisiwe."
Lokhu ngokungangabazeki kuvula amathuba engeziwe kubathengisi bezinkampani zangaphandle emkhakheni wengqalasizinda ye-AI. Muva nje, iziqhwaga eziningi zamafu ezifuywayo nezamazwe ngamazwe zethule imodeli ye-API ye-DeepSeek—iziqhwaga zaphesheya iMicrosoft ne-Amazon zaziphakathi kwabokuqala ukujoyina ekupheleni kukaJanuwari. Umholi wasekhaya, uHuawei Cloud, wenza isinyathelo sokuqala, ekhulula izinsizakalo zokucabanga ze-DeepSeek R1 kanye ne-V3 ngokubambisana ne-Silicon-based Flow ngoFebhuwari 1. Imibiko evela ku-AI Technology Review ibonisa ukuthi izinsizakalo ze-Silicon-based Flow zibone ukuthutheleka kwabasebenzisi, ngokuphumelelayo "ukuphahlazeka" kwesiteji. Izinkampani ezinkulu ezintathu zobuchwepheshe—i-BAT (i-Baidu, i-Alibaba, i-Tencent) ne-ByteDance—ziphinde zakhipha okunikezwayo okunezindleko eziphansi, zesikhathi esilinganiselwe kusukela ngo-February 3, okusikhumbuza izimpi zangonyaka odlule zentengo yomthengisi wamafu ezathulwa ukwethulwa kwemodeli ye-V2 ye-DeepSeek, lapho i-DeepSeek yaqala ukubizwa ngokuthi "isilaha senani." Izenzo eziyaluzayo zabathengisi bamafu zinanela izibopho eziqinile zangaphambili phakathi kweMicrosoft Azure ne-OpenAI, lapho ngo-2019, iMicrosoft yenza utshalomali olukhulu luka-$1 bhiliyoni ku-OpenAI futhi yazuza izinzuzo ngemva kokwethulwa kwe-ChatGPT ngo-2023. Kodwa-ke, lobu budlelwano obuseduze buqale ukuntengantenga ngemuva kwe-Meta enemithombo evulekile ye-Llama, okuvumela abanye abathengisi be-ecosystem yabo enkulu ye-Microsoft ukuthi baqhudelane. Kulesi sibonelo, i-DeepSeek ayigcinanga ngokudlula i-ChatGPT ngokushisa komkhiqizo kodwa futhi yethule amamodeli omthombo ovulekile alandela ukukhishwa kwe-o1, okufana nesasasa elizungeze ukuvuselelwa kuka-Llama kwe-GPT-3.
Eqinisweni, abahlinzeki bamafu nabo bazibeka njengamasango ethrafikhi ezinhlelo zokusebenza ze-AI, okusho ukuthi ukujula kobudlelwano nonjiniyela kuhumusha kube izinzuzo zangaphambi kwesikhathi. Imibiko ibonisa ukuthi i-Baidu Smart Cloud inamakhasimende angaphezu kuka-15,000 asebenzisa imodeli ye-DeepSeek esebenzisa inkundla ye-Qianfan ngosuku lokwethulwa kwemodeli. Ukwengeza, amafemu ambalwa amancane ahlinzeka ngezixazululo, okuhlanganisa i-Silicon-based Flow, i-Luchen Technology, i-Chuanjing Technology, nabahlinzeki abahlukahlukene be-AI Infra abethule ukusekelwa kwamamodeli we-DeepSeek. I-AI Technology Review ifunde ukuthi amathuba amanje okuthuthukisa ukuthunyelwa kwendawo kwe-DeepSeek akhona ikakhulukazi ezindaweni ezimbili: eyodwa ilungiselela izici zokuncipha kwemodeli ye-MoE kusetshenziswa indlela yokucabanga exubile ukuze kusetshenziswe ipharamitha eyizigidi eziyizinkulungwane ezingama-671 yemodeli ye-MoE endaweni kuyilapho kusetshenziswa inkomba ye-GPU/CPU eyingxube. Ukwengeza, ukwenziwa kahle kwe-MLA kubalulekile. Kodwa-ke, amamodeli amabili we-DeepSeek asabhekene nezinselelo ezithile ekusetshenzisweni kahle kokuthunyelwa. "Ngenxa yobukhulu bemodeli namapharamitha amaningi, ukwenza ngokugcwele kuyinkimbinkimbi, ikakhulukazi ekusetshenzisweni kwendawo lapho ukuzuza ibhalansi ephelele phakathi kokusebenza nezindleko kuzoba inselele," kusho umcwaningi waseChuanjing Technology. Isithiyo esibaluleke kakhulu sisekunqobeni imikhawulo yamandla enkumbulo. "Sisebenzisa indlela yokubambisana ehlukahlukene ukuze sisebenzise ngokugcwele ama-CPU nezinye izinsiza zokubala, sibeka kuphela izingxenye ezingabelwe ze-matrix ye-MoE encane ku-CPU/DRAM ukuze icutshungulwe kusetshenziswa ama-opharetha we-CPU asebenza kahle, kuyilapho izingxenye eziminyene zihlala ku-GPU," eqhubeka echaza. Imibiko ibonisa ukuthi uhlaka lomthombo ovulekile lwe-Chuanjing I-KTransformers ijova amasu ahlukahlukene kanye nezisebenzisi ekusetshenzisweni Kweziguquli zangempela ngesifanekiso, esithuthukisa kakhulu isivinini sokunquma sisebenzisa izindlela ezifana ne-CUDAGraph. I-DeepSeek idale amathuba alezi ziqalo, njengoba izinzuzo zokukhula zibonakala; amafemu amaningi abike ukukhula kwamakhasimende okuphawulekayo ngemva kokwethula i-DeepSeek API, ethola imibuzo evela kumakhasimende angaphambilini afuna ukuthuthukiswa. Abangaphakathi kwemboni baphawulile, "Esikhathini esidlule, amaqembu amakhasimende asungulwe ngandlela-thile ayevamise ukuvaleleka ezinsizeni ezimisiwe zezinkampani ezinkulu, eziboshwe ngokuqinile yizinzuzo zazo zezindleko ngenxa yesilinganiso. Nokho, ngemva kokuqeda ukuthunyelwa kwe-DeepSeek-R1/V3 ngaphambi koMkhosi Wasentwasahlobo, sithole kungazelelwe izicelo zokubambisana ezivela kumakhasimende amaningana aziwayo, futhi saze sangenisa ngisho nangaphambilini amakhasimende ethu alele ekuqaliseni isevisi yethu." Njengamanje, kubonakala sengathi i-DeepSeek yenza ukusebenza kwemodeli kube bucayi kakhulu, futhi ngokwamukelwa okubanzi kwamamodeli amakhulu, lokhu kuzoqhubeka nokuba nomthelela omkhulu ekuthuthukisweni kwemboni ye-AI Infra. Uma imodeli yezinga le-DeepSeek ingasatshalaliswa endaweni ngenani eliphansi, ingasiza kakhulu imizamo kahulumeni neyebhizinisi yokuguqula idijithali. Kodwa-ke, izinselele ziyaqhubeka, njengoba amanye amaklayenti angase abe nokulindela okuphezulu mayelana namakhono amamodeli amakhulu, okwenza kube sobala ukuthi ukulinganisa ukusebenza nezindleko kuba semqoka ekusetshenzisweni okungokoqobo.
Ukuze uhlole ukuthi i-DeepSeek ingcono yini kune-ChatGPT, kubalulekile ukuqonda umehluko wabo oyinhloko, amandla, nezimo zokusebenzisa. Nasi isiqhathaniso esiphelele:
| Isici/Isici | I-DeepSeek | I-ChatGPT |
|---|---|---|
| Ubunikazi | Ithuthukiswe inkampani yaseShayina | Ithuthukiswe yi-OpenAI |
| Imodeli Yomthombo | Umthombo ovulekile | Ubunikazi |
| Izindleko | Kumahhala ukusebenzisa; izinketho zokufinyelela ze-API ezishibhile | Ukubhalisa noma intengo yokukhokha ngakunye kokusetshenziswa |
| Ukwenza ngokwezifiso | Yenza ngokwezifiso kakhulu, okuvumela abasebenzisi ukuthi balungise futhi bakhe phezu kwayo | Ukwenza ngokwezifiso okulinganiselwe kuyatholakala |
| Ukusebenza Emisebenzini Ethize | Ama-Excel ezindaweni ezithile njengokuhlaziya idatha nokubuyiswa kolwazi | Isebenza ngezinto ezihlukahlukene ngokusebenza okuqinile ekubhaleni kokudala kanye nemisebenzi yengxoxo |
| Ukusekela Ulimi | Ukugxila okuqinile olimini lwesiShayina namasiko | Ukusekelwa okubanzi kolimi kodwa okumaphakathi kwe-US |
| Izindleko Zokuqeqesha | Izindleko zokuqeqesha eziphansi, ezilungiselelwe ukusebenza kahle | Izindleko zokuqeqesha eziphakeme, ezidinga izinsiza eziningi zokubala |
| Ukuhlukahluka Kwempendulo | Ingase inikeze izimpendulo ezihlukene, okungenzeka zithonywe umongo we-geopolitical | Izimpendulo ezingaguquki ngokusekelwe kudatha yokuqeqeshwa |
| Izethameli eziqondiwe | Kuhloswe konjiniyela nabacwaningi abafuna ukuguquguquka | Iqondiswe kubasebenzisi abajwayelekile abafuna amakhono okuxoxa |
| Sebenzisa Amacala | Isebenza kahle kakhulu ekwenzeni amakhodi nemisebenzi esheshayo | Ilungele ukukhiqiza umbhalo, ukuphendula imibuzo, nokuzibandakanya kungxoxo |
Umbono Obalulekile "wokuphazamisa i-Nvidia"
Njengamanje, ngaphandle kwe-Huawei, abakhiqizi abaningana bama-chip basekhaya abafana ne-Moore Threads, i-Muxi, i-Biran Technology, ne-Tianxu Zhixin nabo bazivumelanisa nezimo ezimbili ze-DeepSeek. Umkhiqizi wama-chip utshele i-AI Technology Review, "Isakhiwo se-DeepSeek sibonisa ukusungula izinto ezintsha, nokho kuseyi-LLM. Ukuzivumelanisa kwethu ne-DeepSeek kugxile kakhulu ekusetshenzisweni kokucabanga, okwenza ukuqaliswa kobuchwepheshe kucace futhi kusheshe." Kodwa-ke, indlela ye-MoE idinga izidingo eziphakeme mayelana nokugcinwa nokusabalalisa, okuhambisana nokuqinisekisa ukuhambisana lapho kuthunyelwa nama-chips asekhaya, kwethula izinselelo eziningi zobunjiniyela ezidinga ukuxazululwa ngesikhathi sokujwayela. "Okwamanje, amandla okuhlanganisa asekhaya awafani ne-Nvidia ekusebenziseni nasekuzinzeni, edinga ukubamba iqhaza kwefekthri yokuqala ekusethweni kwemvelo yesofthiwe, ukuxazulula izinkinga, nokwenza kahle okuyisisekelo," kusho uchwepheshe wemboni ngokusekelwe kokuhlangenwe nakho okungokoqobo. Ngesikhathi esifanayo, "Ngenxa yesilinganiso esikhulu sepharamitha ye-DeepSeek R1, amandla ekhompyutha asekhaya adinga ama-node engeziwe ukuze ahambisane. Ukwengeza, ukucaciswa kwezingxenyekazi zekhompiyutha zasekhaya kusemuva kancane; isibonelo, i-Huawei 910B okwamanje ayikwazi ukusekela ukucabangela kwe-FP8 okwethulwe yi-DeepSeek." Okunye okugqamile kwemodeli ye-DeepSeek V3 ukwethulwa kohlaka lokuqeqeshwa olunembayo oluxubile lwe-FP8, oluye lwaqinisekiswa ngempumelelo kumodeli enkulu kakhulu, okumaka impumelelo ebalulekile. Ngaphambilini, abadlali abakhulu abanjengoMicrosoft kanye noNvidia baphakamise umsebenzi ohlobene, kodwa ukungabaza kusekhona embonini mayelana nokuba nokwenzeka. Kuyaqondakala ukuthi uma kuqhathaniswa ne-INT8, inzuzo eyinhloko ye-FP8 ukuthi ukulinganisa kwangemuva kokuqeqeshwa kungafinyelela ukunemba cishe okungalahleki kuyilapho kuthuthukisa kakhulu isivinini sokunquma. Uma iqhathaniswa ne-FP16, i-FP8 ingabona ukusheshisa okufika izikhathi ezimbili ku-Nvidia's H20 kanye nokusheshisa okungaphezu kwezikhathi ezingu-1.5 ku-H100. Ngokuphawulekayo, njengoba izingxoxo ezizungeze umkhuba wamandla okuhlanganisa asekhaya kanye namamodeli asekhaya ziba namandla, ukuqagela mayelana nokuthi i-Nvidia ingaphazamiseka yini, nokuthi kungenzeka yini ukweqiwa umsele we-CUDA, kuya ngokuya kudlondlobala. Iqiniso elilodwa elingephikwe ukuthi i-DeepSeek ibangele ukwehla okukhulu kwenani lemakethe ye-Nvidia, kodwa lokhu kushintsha kuphakamisa imibuzo mayelana nobuqotho bamandla wekhompyutha we-Nvidia aphezulu. Ukulandisa okwamukelwe ngaphambilini mayelana nokuqoqwa kwekhompyutha okuqhutshwa yimali kuyaphonselwa inselelo, nokho kusenzima ukuthi uNvidia ashintshwe ngokuphelele ezimeni zokuqeqesha. Ukuhlaziywa kokusetshenziswa okujulile kwe-CUDA kwe-DeepSeek kubonisa ukuthi ukuguquguquka—njengokusebenzisa i-SM ekuxhumaneni noma ukukhohlisa amakhadi enethiwekhi—akunakwenzeka ukuze ama-GPU amukeleke. Imibono yemboni igcizelela ukuthi umsele we-Nvidia uhlanganisa yonke i-ecosystem ye-CUDA kune-CUDA ngokwayo, kanye nemiyalo ye-PTX (Parallel Thread Execution) esetshenziswa yi-DeepSeek iseyingxenye ye-ecosystem ye-CUDA. "Ngesikhathi esifushane, amandla ka-Nvidia wokubala awakwazi ukudlula-lokhu kucacile ikakhulukazi ekuqeqesheni; noma kunjalo, ukuhambisa amakhadi asekhaya ngokucabanga kuzoba lula, ngakho-ke inqubekelaphambili cishe izoshesha. Ukuguqulwa kwamakhadi asekhaya ngokuyinhloko kugxile ekuqondeni; akekho noyedwa oye wakwazi ukuqeqesha imodeli yokusebenza kwe-DeepSeek emakhadini asekhaya okuhlaziya imbonini ye-AI Review AI review. Sekukonke, ngokombono wokucatshangelwa, izimo ziyakhuthaza kuma-chips amamodeli amakhulu asekhaya. Amathuba abakhiqizi bama-chip basekhaya ngaphakathi kwendawo yokucabanga abonakala kakhulu ngenxa yezidingo eziphakeme kakhulu zokuqeqesha, ezithiya ukungena. Abahlaziyi baphikisa ngokuthi ukusebenzisa amakhadi asekhaya kwanele; uma kudingekile, ukuzuza umshini owengeziwe kungenzeka, kuyilapho amamodeli okuqeqesha ebeka izinselele eziyingqayizivele—ukuphatha inani elikhulayo lemishini kungaba umthwalo, futhi amazinga aphezulu amaphutha angaba nomthelela omubi emiphumeleni yokuqeqeshwa. Ukuqeqeshwa nakho kunezidingo eziqondile zesikali seqoqo, kuyilapho izimfuno zamaqoqo zokunquma aziqinile, ngaleyo ndlela kwenza izidingo ze-GPU zibe lula. Njengamanje, ukusebenza kwekhadi elilodwa le-Nvidia le-H20 akudluli lokho kweHuawei noma iCambrian; amandla awo asekuhlanganiseni. Ngokusekelwe kumthelela ophelele wemakethe yamandla ekhompiyutha, umsunguli we-Luchen Technology, u-You Yang, waphawula engxoxweni ne-AI Technology Review, "I-DeepSeek ingase ibukele phansi okwesikhashana ukusungulwa nokuqashwa kwamaqoqo amakhompiyutha amakhulu kakhulu. Ngokuhamba kwesikhathi, ngokunciphisa kakhulu izindleko ezihambisana nokuqeqeshwa kwamamodeli amakhulu, ukucabanga, kanye nezicelo, ngakho-ke isidingo sokuthengisa esisekelwe kulokhu sizoba khona. ngokuqhubekayo iqhubekisela phambili isidingo esiqhubekayo emakethe yamandla ekhompuyutha." Ukwengeza, "isidingo esiphezulu se-DeepSeek sokubonisana kanye nezinsiza zokuhlela kahle sihambisana kakhulu nesimo sekhompyutha sasekhaya, lapho amandla endawo ebuthaka uma kuqhathaniswa, okusiza ukunciphisa ukungcola okuvela ezinsizeni ezingasebenzi ngemuva kokusungulwa kweqoqo; lokhu kudala amathuba asebenzayo kubakhiqizi kuwo wonke amazinga ahlukene we-ecosystem yekhompyutha yasekhaya." I-Luchen Technology isebenzisane ne-Huawei Cloud ukwethula uchungechunge lwe-DeepSeek R1 ama-API wokucabanga kanye nezinsizakalo zokucabanga ngamafu ezisekelwe emandleni ekhompyutha asekhaya. U-You Yang uzwakalise ukuba nethemba ngekusasa: "I-DeepSeek ifaka ukuzethemba ezisombululweni ezikhiqizwa ekhaya, ikhuthaza umdlandla omkhulu kanye nokutshalwa kwezimali kumakhono asekhaya okubambisa ngokuya phambili."
Isiphetho
Ukuthi i-DeepSeek "ingcono" kune-ChatGPT kuncike ezidingweni ezithile kanye nezinjongo zomsebenzisi. Ngemisebenzi edinga ukuguquguquka, izindleko eziphansi, nokwenza ngokwezifiso, i-DeepSeek ingase ibe phezulu. Ngokubhala ngobuciko, imibuzo evamile, nezingxoxo ezisebenziseka kalula, i-ChatGPT ingase ihole. Ithuluzi ngalinye linezinjongo ezihlukene, ngakho ukukhetha kuzoncika kakhulu kumongo asetshenziswa kuwo.
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