Ingabe i-Deepseek-R1 ikusasa le-AI, noma i-Opelai isakukhetha?
Ngentuthuko e-AI yenzeka ngejubane lombani, kubalulekile ukuqonda ukuthi yini eyenza i-Deepseed-R1 kungumncintiswano ophawuleka.
Kulesi sihloko, sizokwehla izici eziyisisekelo futhi sisebenzise amacala bese siqhathanisa ukusebenza kwe-Deepseek-R1 nge-OpenAI ukukusiza wenze isinqumo esinolwazi.
Yini i-Deepseek-R1?
I-Deepseek-R1 iyimodeli yokucabanga entsha eyenzelwe ukwedlula imingcele yokuthi i-AI ingakufeza yini, enikela ukusebenza okuphezulu emisebenzini eminingi ebucayi.
Isebenzisa ukufunda okuqinisile (RL) nokuqeqeshwa kwesigaba ezahlukahlukene ukuletha imiphumela ephezulu.
Izinhlobo zemodeli, kufaka phakathi i-Deepseek-R1-Zero, inwebe amakhono ayo ngokwengeziwe.
Enye yezinyathelo ezinesibindi ezijulile zesibindi yisinqumo sayo sokuvulwa komthombo hhayi nje kuphela imodeli yayo eyinhloko kepha futhi nezindlela eziyisithupha ezincane eziphukile, ezihlukahluka phakathi kwezigidigidi eziyi-1,5 zamapharamitha.
Lawa mamodeli akhishwa ngaphansi kwelayisense le-MIT, alethe abacwaningi nakubathuthukisi inkululeko yokuzivumelanisa nezimo, ukuthuthukisa, kanye nokuthengisa izinto zazo ezintsha.
Kuphakanyisiwe: Yini i-ai ekhiqizayo?
Izici ezihlukile ze-Deepseek-R1
1. Indlela yokufunda yokuqinisa
I-Deepseek-R1 isebenzisa indlela yokufundisa yokufunda (RL) emsulwa (RL), enikeza izinzuzo eziningana zokuqondisa okuhle kwendabuko.
Ngokusebenzisa amandla njalo ngokusebenzisana kwangempela komhlaba namasampula, kuvumela imodeli ukuthi ifunde futhi ivumelane ngezimo ngendlela ephumelelayo futhi ithuthukise amakhono okwenza izinqumo ezindaweni ezinamandla.
2. Ingxube yochwepheshe (i-MOE) yokwakha
Ukwakhiwa kwe-MOE ku-Deepseek-R1 kuqinisekisa ukusebenza kwepharamitha ehlukile.
Lokhu kwenza amasethi aphansi afanele ama-parameter wemodeli enkulu esebenzayo kuphela imisebenzi ethile, ngakho-ke ukunciphisa izindleko zokuhlanganisa ngokusebenza okuphezulu kakhulu okugxilile.
3. Amandla wokufunda ama-multi-alent
I-Deepseek-R1 isekela ukufundwa kwama-ejenti amaningi, ikwenza ukwazi ukuxhumanisa futhi kuhlanganyele phakathi kwama-ejenti amaningana ngezimo eziyinkimbinkimbi, ezinezici eziningi.
Lesi sici silungele imisebenzi edinga amandla weqembu, njengokumbumbuluzwa, amasistimu azimele, kanye nokuxazululwa kwezinkinga ezinkulu ezisebenzisanayo.
4. Ukuchazwa okuthuthukile
Ukufaka amathuluzi owakhelwe ngaphakathi we-AI (xai), i-Deepseek-R1 kuthuthukisa ukucaca kwezinqubo zayo zokwenza izinqumo.
Lawa mathuluzi anikeza imininingwane yokuthi imodeli ifinyelela kanjani iziphetho yayo futhi ivumele abasebenzisi ukuthi babe nokuqonda okucacile kokubonisana ngemuva kwawo, okubalulekile ukuthembeka kanye nokwethenjwa kwezicelo eziphezulu.
I-5. Ukwenza ngokwezifiso kanye namamojula aqeqeshelwe kwangaphambili
I-Deepseek-R1 ihlangana ngaphandle komthungo ngezinhlaka ezidumile njenge-tensorflow ne-Pytorch, enikeza ukuguquguquka konjiniyela.
Ngaphezu kwalokho, ihlinzeka ngezinombolo eziningi eziqeqeshwe amamojula angahlelwa kalula ngemisebenzi ethile ukusheshisa ukuthunyelwa kanye nokunciphisa inani lokubuyiselwa okubanzi okudingekayo.
Ukuqhathanisa amamethrikhi okusebenza ngokumelene namamodeli ka-OpenAi
Lapho uqhathanisa i-Deepseek-R1 enamamodeli ka-OpenAi, amabhentshi ambalwa asemqoka avelele, achithe ukukhanya ngamandla ngamunye. Amamethri asebenzayo atholakalayo afaka:
- I-AIME (AI Model Evaluation): Amamodeli ajulile-R1 afudumele amamodeli we-OpenPreen e-Acaia, ekhombisa ukunemba okuphezulu ekubonisaneni kanye nemisebenzi yokuxazulula izinkinga.
- Math-500: Ama-Deepseek-R1 ama-Excels emisebenzini eyinkimbinkimbi yezibalo, efinyelela isilinganiso esiphakeme sokudlula kune-Open-500 Benchmark, evivinya amakhono okuxazulula izinkinga athuthukile kanye nenengqondo.
- Izinselelo Zokufaka Amakhodi: Ezinseleleni zokufaka amakhodi, i-Deepseek-R1 ikhombisa ukusebenza okuphezulu ngokwemigomo yokuqonda izidingo zenkinga, ikhodi yokulungisa iphutha, kanye nokuhlinzeka ngezisombululo ezengeziwe ngokuqhathaniswa ne-Orandai.
Ukubuka konke kwe-Statistical Performance
Ukudlula kwamanani ezivivinyo ezibalulekile:
I-Deepseek-R1 ikhombisa amanani entengo amahle kakhulu ekuhlolweni kwebhentshi eliningana. Isibonelo, ine-95% yokuphasa izinga ku-aime, ngenkathi amamodeli ka-OpenAI akwi-89%. In the Math-500 inselele, Deepseek-R1 Outperforms AlandeA nge “Izinga le-93% lokuphasa, kuyilapho i-Vulai inama-88%. Izinselelo zokufaka amakhodi ziphinde zibonise umphetho we-Deepseek-R1 ngenani elingama-92% lokuphasa uma kuqhathaniswa nama-205% angama-20.
Ukusebenza kwezindleko
Enye yezinzuzo eziyinhloko ze-Deepseek-R1 ukuthi ingabizi kakhulu.
Ngengxube yochwepheshe bezobuchwepheshe kanye namasu wokufunda aqinisiwe, i-Deepseek-R1 iyakwazi ukwehlisa izindleko zokusebenza ngaphandle kokunciphisa ukusebenza kwemodeli.
Zonke lezi zinhlaka zisiza ukuqinisekisa ukuthi imodeli ikhiqiza imiphumela esezingeni eliphansi kokusetshenziswa kwezinsiza eziphansi.
Ngakolunye uhlangothi, amamodeli we-Vulai anamandla kakhulu. Ngemisebenzi evamile, lezi zinhlobo zifuna ama-Powerling Power amaningi kakhulu futhi angahle abe yimali ebiza kakhulu.
Izindleko ezincishisiwe zamathuba ajulile-R1 avulelekile ezinhlanganweni ezibanzi zezinhlangano, kusukela ekuqaleni kuya emabhizinisini amakhulu, ukufinyelela ubuchwepheshe obuthuthukile be-AI. Le yentando yeningi ye-AI isiza ukushayela okusha ngokwenza amathuluzi anamandla abize kakhulu eqenjini labasebenzisi abahlukahlukene.
Itafula lokuqhathanisa:
| Isici | Deepseek-R1 | Vulai |
| Ukusebenza kweBenchmark | Amanani aphezulu okudlula ku-Anime, Math-500, kanye nezinselelo Zokufaka Amakhodi | Izilinganiso Zokuncintisana Kodwa Ngokuvamile Ukudlula Amanani Ezivivinyweni Ezifanayo |
| Izinga lokuphasa le-Aime | 95% | I-89% |
| Izinga lokuphasa le-Math-500 | 93% | I-88% |
| Izinga lokuphasa kwe-Coding Challenge | 92% | 85% |
| Indlela yokufunda yokuqinisa | Ukuqeqeshwa okumsulwa kwe-RL yokufunda okwenziwe kahle komsebenzi | Ngokuyinhloko ugadwe kahle ukuhleleka okuhle |
| Ingxube yochwepheshe (uMoe) | Izakhiwo ze-MOE ezithuthukile, kusebenza amapharamitha afanele | Ayisebenzisi uMoe; Kudingeka imodeli ephelele esebenzayo |
| -Chugca | Amathuluzi owakhelwe ngaphakathi wokuchazwa kwe-AI (Xai) okuthuthukayo | Ukusobala okulinganiselwe ezinhlelweni zokwenza izinqumo |
| Ukusebenza kwezindleko | Kubiza kakhulu okungabizi kakhulu, kulungiselelwe ukusetshenziswa kwezinsizakusebenza | Izindleko eziphakeme zokusebenza ngenxa yezidingo eziningi kakhulu zensiza |
| Ukwenza lula | Ukuhlanganiswa okungenamthungo ne-tensorflow, i-pytorch, namamojula aqeqeshelwe kwangaphambili | Iguquguqukayo kepha imvamisa idinga umzamo owengeziwe wokuhleleka okuhle |
| Amandla | Okubizayo, okusobala, ukusebenza okuphezulu kumabhentshi | Inamandla emisebenzini yolimi lwemvelo, eguquguqukayo ehlukahlukene |
| Ubuthakathaka | Bale ngemuva kokubonisana okuyinkimbinkimbi nemisebenzi yokudala | Kubiza kakhulu futhi kusebenza kahle kumabhentshi akhethekile |
| Ukujwayelekile kokujwayelekile kwisizinda | Iqinile kumabhentshi athile (isib. Ukufaka amakhodi, izibalo) | Ukuzulazula okuhle kakhulu ezinhlosweni ezahlukahlukene zezizinda |
Sebenzisa amacala we-Deepseek-R1
1. Yakha imidlalo kusuka ezilimini ezahlukahlukene
I-Deepseek-R1 yenza kube yithuluzi elinamandla kakhulu ekuthuthukisweni komdlalo futhi livumela abathuthukisi ukudala imidlalo yanoma yiluphi uhlobo ngaphakathi kwezilimi eziningi kalula.
Kungakhathalekile ukuthi usebenzisa i-Python, C ++, noma izilimi zokubhala ezisetshenziselwa ukwakheka komdlalo, i-Deepseek-R1 kuzoqonda kahle isakhiwo se-coding ngokwanele ukuba sikuhumushele.
Isibonelo, unjiniyela angasebenzisa i-Deepseek-R1 ukuhumusha ngokuzenzakalelayo umdlalo kusuka kubumbano (C #) kuya kwi-Unreal Enjini (C ++), enciphisa isikhathi sokuthuthukisa kanye nokuvumela ukuProtatisi okusheshayo kuwo wonke amapulatifomu.
Isibonelo: Ungakha umdlalo we-adventure ovumelana ngamandla nezinketho zolimi ezahlukahlukene ngokuqonda okujulile kwezilimi ezi-Deepseek-R1.
Amandla okubonisana asuselwe ekujuleni kwe-Deepseek-R1 ahlinzeka ngethuba elinamandla ezimweni lapho kuphela i-logic ebalulekile edinga ukuqondwa noma ukuhlukaniswa.
Usebenzisa i-Deepseek-R1 eyakhelwe ngaphakathi, ungakhipha kalula ukucabanga okunembile ngemuva kwanoma yisiphi isinqumo esenziwe yimodeli.
Lokhu kusiza ikakhulukazi ezimbonini lapho kuvela khona obala lapho kuvela khona obala kanye nencazelo kubalulekile, njengokunakekela ezempilo kanye nezezimali.
Isibonelo: Kwithuluzi lokuxilongwa kwezokwelapha, ungasebenzisa i-Deepseek-R1 ukukhipha ukucabanga ngemuva kokuxilongwa okusekelwe kwimininingwane yesineke, ukuhlinzeka ngemininingwane enemininingwane yokuthi udokotela angawabuyekeza.
I-3. Ukwakha ukudideka kwe-Clone ngehora ngaphandle kokubhala umugqa owodwa wekhodi
Ipulatifomu ye-AI enamandla ye-Deepseek-R1 inika amandla anjalo amamodeli afana nemodeli yolimi esetshenziswayo ekhungathekile ukuze athuthukiswe ngaphandle kokufuna imizamo ebanzi yokuhlela.
Amamojula enziwe ngezifiso kalula ku-Deepseek-R1, avumela ukuhlanganiswa kube ngohlaka olufana ne-tensorflow ne-Pytorch, ama-AI afaka amamodeli ambalwa ngokuchofoza amasekhondi. .
Isibonelo: Kungakapheli ihora, ungasebenzisa i-Deepseek-R1 ukwakha uhlelo lokuncoma lokuqukethwe olufana ne-DuntepTutity, elihlaziya ukufaka umsebenzisi futhi liphakamisa okuqukethwe ngaphandle kokubhala umugqa owodwa wekhodi.
1. Yakha ukudideka kwe-Clone nge-Deepseek R1pic.twitter.com/ocqmzljewsv
– Abhishek (@heyabhishekk) Janawari 27, 2025
4. Run Run Deepseek-R1 ngaphesheya kwe-7 m4 pro mac minis + 1 m4 mac macbook Pro
I-Deepseek-R1 inesilinganiso esisezingeni eliphakeme kakhulu futhi ingasatshalaliswa kumadivayisi athile wokuhlanganiswa okusebenzayo kwemisebenzi ebanzi yezinsizakusebenza ngasikhathi sinye.
Noma ngabe isebenza kusethi ye-M4 Pro Mac Minis noma i-M4 Mac Macook Pro, i-Deepseek-R1 ingasebenzisa ngokugcwele i-Hardware etholakalayo yokwandisa ukusebenza kanye nesivinini.
Isibonelo: Ungagijima umsebenzi omkhulu wokucubungula idatha ku-7 M4 Pro Mac Minis futhi usebenzise i-M4 Mac MacBook Pro yokuqeqeshwa imodeli, ukunciphisa isikhathi sokusebenza okuphelele kwemisebenzi enjengemisebenzi enjengemisebenzi yokufunda noma ukumbumbuluzwa kwe-AI.
5. Ukuqhekeka izinkinga zezibalo eziyinkimbinkimbi kalula
I-Deepseek-R1 inamandla kakhulu kwizicelo eziyinkimbinkimbi zokuxazulula izinkinga nezinkinga zokuxazulula izinkinga futhi ngenxa yalokho ingaba inani elihle kakhulu emikhakheni efana nocwaningo, ubunjiniyela, noma ezezimali.
Amandla wemodeli yokudiliza izibalo eziyinkimbinkimbi futhi ahlinzeke ngezindlela ezi-step-step solutions ngumdlalo we-Game-Changer wemisebenzi edinga ukunemba nokuhlaziywa okujulile.
Isibonelo: I-Deepseek-R1 ingaxazulula izinkinga ze-calculus ezithuthukile noma i-linear algebra equations ngesikhathi sangempela, okwenza kube ngumsizi ophelele wabafundi noma abacwaningi ababhekana nezinkinga ezinzima zezibalo noma ukuhlaziywa kwedatha.
Amathemba esikhathi esizayo se-deepseek-R1
Ukuvuselelwa okuzayo kanye nokwenza ngcono
I-Deepseek-R1 izokwamukela ngokushesha izibuyekezo ukukhulisa isikhumba, ukunciphisa ama-latency, futhi kuthuthukise amakhono okubonisana. Ukuthuthuka okuzayo kuzogxila ekuxhumaniseni okunemisebenzi eminingi futhi kunikeze amamojula aqeqeshwe ngaphambi kokuqeqeshwa ngaphambi kokuhlanganiswa okulula kuyo yonke imboni efana nokunakekelwa kwempilo, ezezimali, kanye nemfundo.
Ubambiswano Olunamasu
Lindela ukuba ngokubambisana ngezinto ezinkulu ze-Tech Giants zifana ama-AWS, Microsoft, ne-Google Cloud ukuze zithuthukise amakhono abo okuhambisa.
Ubambiswano nge-Academia luzofaka isandla ekuqhubekeni nokuqinisa ukuxhumana phakathi kokucwaninga kwethiyori ye-AI nokusebenza kwayo emhlabeni wangempela.
Umthelela ezindaweni ezivelayo ze-AI
- Echaza AI: Izici zokubonakala ezi-Deepseek-R1 zivumelanisa nesidingo esikhulayo se-AI eguquliwe, ikakhulukazi emikhakheni ebucayi efana nokunakekelwa kwempilo.
- I-AI ye-automation: Ikhono layo lokusebenzisa izinqubo eziyinkimbinkimbi likubeka njengomdlali osemqoka ekusebenzeni kwebhizinisi okuqhutshwa yi-AI.
- I-Edge Computing: Imvelo engasindi ye-Deepseek-R1 izokwenza ukuthi ithunyelwe kumadivayisi we-EDGE, icindezela ukutholwa kwangempela kwe-AI emaphethelweni.
I-Deepseek-R1 isethwe ukushayela okusha kwe-AI, yenza umthelela omkhulu kuzo zonke izimboni ngokusebenzisa izibuyekezo, ukubambisana kwamasu, kanye nokuqondanisa nezitayela zesikhathi esizayo ze-AI.
Ukugcina
I-Deepseek-R1 iyithuluzi elinamandla kakhulu eliguqula isimo se-AI ngamakhono ayo okubonisana athuthukile, ukusebenza kwezindleko, kanye nokukhubazeka.
Umthelela wayo ongaba khona ezitayelweni ze-AI ezisafufusa, ezinjenge-automation, echazayo AI, kanye ne-ord computing, azinakuphikwa ukuthi ziyaqhubeka nokuvela ngezibuyekezo ezizayo kanye nobudlelwano namasu.
Ukuze ujule a / i kanye ne-ml okuhlangenwe nakho, le yindlela enhle yokufunda ngokwenza labo abanentshisekelo ku-AI ne-ML.
Njengoba nje i-Deepseek-R1 ibeka amarekhodi amasha e-AI, uzonikezwa amandla e-AI enkulu ye-AI ne-ML ukuze uhlale ngaphambi kwejika lomhlaba ovelele osheshayo wobuhlakani bokufakelwa.
Kuphakanyisiwe:
