DeepSeek-V4.1-Flash-1017 Uyasebenza

I-DeepSeek-V4.1-Flash-1017 inguqulo ethuthukisiwe yemodeli elula ekhishwe yi-DeepSeek; iwebhu, i-APP ne-API sekushintshelwe kuyo kanyekanye. Inguqulo entsha iqeqeshwe ngokufunda okuqinisiwe okusekelwe ekuzihloleni, ithuthukisa kakhulu amakhono okuhlela imidlalo, ukumodela kwe-3D nokunye, futhi yenza kube lula ukwakha amaphrojekthi aphelele ngaphandle kolwazi lwangaphambilini. Ngesikhathi esifanayo inciphisa isikhathi semisebenzi nobude bemiphumela, ithuthukise ukusebenza nezindleko, futhi ihambisane nezinhlaka ezifana ne-DeepSeek Harness ne-CodeBuddy.

Yethulwe kuzo zonke izinkundla: iwebhu, i-APP ne-API kushintshelwe kumodeli entsha i-V4.1-Flash-1017.
Ukusebenza kuthuthukiswe ngokuphelele: izivivinyo ezihlukahlukene zokulinganisa zibonisa intuthuko enkulu uma kuqhathaniswa nesizukulwane sangaphambilini, kuyilapho imisebenzi isebenza ngokushesha, imiphumela imifushane futhi izindleko ziphansi.
Ukuhlela ngendlela yokufisa: isekela ukwakha amaphrojekthi aphelele kusukela ekuqaleni, okuhlanganisa ukuthuthukiswa kwemidlalo nokumodela kwe-3D; imiyalelo embalwa nemijikelezo emifushane kungakhiqiza imiphumela.
Ukuhambisana okujulile nezinhlaka: kwenziwe ukulungiselelwa okukhethekile kwezinhlaka ezifana ne-DeepSeek Harness, i-Tencent CodeBuddy ne-WorkBuddy.
I-Search API iyatholakala: izixhumi ezizithuthukisele ze-Search ne-Fetch zivulekele umphakathi okokuqala.

Landela i-WeChat bese uphendula ngokuthi “开源” ukuze ujoyine iqembu lokuxoxa ngamaphrojekthi e-AI avulekile
Ukufunda okuqinisiwe okusekelwe ekuzihloleni (RL): kusetshenziswa ubuchwepheshe bokufunda okuqinisiwe obusekelwe ekuzihloleni. Imodeli iyazihlola futhi izilungise ngesikhathi ikhiqiza, iqinise ikhono lokwakha amaphrojekthi aphelele kusukela ekuqaleni.
Ukulungiselelwa kwe-Pareto phakathi kokusebenza nezindleko: ngaphezu kokuthuthukisa imiphumela yokulinganisa, kuncishiswa isikhathi sokusebenza kwemisebenzi nobude bemiphumela, kwehliswe ukusetshenziswa kwama-token, ngaleyo ndlela kuthuthuke kokubili ukusebenza nezindleko futhi kufinyelelwe ekukhetheni okusha okuhle kwe-Pareto ngaphansi kwezinhlaka eziningi zokuhlola.
Ukwakhiwa kwenjini yokusesha yomdabu ye-AI: injini yokusesha i-DeepSeek ezithuthukisele yona ikhomba amakhulu ezigidigidi zamakhasi ewebhu emhlabeni wonke, isekela ukusesha kwesikhathi sangempela ngezilimi eziningi, futhi isebenzisa indlela eqinile yokuhlonza ukuhlunga ukukopela kwe-SEO, ukukhohliswa kwe-GEO nokuqukethwe kwe-AIGC okusezingeni eliphansi, iqinisekise ukuhambisana nokwethembeka okuphezulu kwemiphumela ebuyiswayo.

Iwebhu/APP: vakashela iwebhusayithi esemthethweni ye-DeepSeek noma uvule i-APP ukuze uyisebenzise; imodeli isivele ishintshelwe ngokuzenzakalelayo enguqulweni entsha.
Ukusebenzisa i-API: sebenzisa inkundla evulekile ye-DeepSeek; i-ID yemodeli ishintshelwe ku-V4.1-Flash-1017, ngakho akudingeki ucacise mathupha inguqulo endala.
Abasebenzisi be-DeepSeek Harness: thuthukisela enguqulweni engu-0.2.1-rc.1 noma ngaphezulu ukuze uthole ulwazi oluhle kakhulu oluhambisana nemodeli entsha.
Abasebenzisi be-Claude Code / Codex: lungiselela i-DeepSeek API ukuze uyisebenzise; i-Search/Fetch ibizwa ngokuzenzakalelayo yiseva.

Inani elingcono kakhulu: ukusebenza kuthuthukiswe ngokuphelele, kuyilapho ukusebenza kushesha, imiphumela imifushane futhi izindleko ziphansi, okwenza kube nokuthuthukiswa kokusebenza nezindleko.
Ikhono lokuhlela ngendlela yokufisa: ngenxa yokufunda okuqinisiwe okusekelwe ekuzihloleni, kungakhiwa amaphrojekthi aphelele kusukela ekuqaleni, njengemidlalo nokumodela kwe-3D, ngaphandle komkhawulo wolwazi lwemiyalelo.
Ukuhambisana okujulile nezinhlaka: kwenziwe ukulungiselelwa okukhethekile kwezinhlaka ezijwayelekile ze-Agentic Coding ezifana ne-DeepSeek Harness, i-CodeBuddy ne-WorkBuddy.
Ukusesha kuyatholakala: injini yokusesha yomdabu ye-AI ezithuthukisele yona ivulekele umphakathi okokuqala nge-Search/Fetch API; ithembekile futhi imelana nokukopela kwe-SEO.
Umthombo ovulekile uyatholakala: izisindo zemodeli zivuliwe ku-HuggingFace naku-ModelScope, futhi zingalandwa futhi zisetshenziswe ngokukhululekile.

Ilabhulali yamamodeli ye-HuggingFace: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017

Ukuthuthukiswa kwamaphrojekthi esoftware ayinkimbinkimbi: yakha izinhlelo zokusebenza eziphelele kusukela ekuqaleni, kusukela ekuhlaziyweni kwezidingo, ekwakhiweni kwezakhiwo kuya ekusetshenzisweni kwekhodi.
Ukudala imidlalo nokuqukethwe kwe-3D: khiqiza ngokushesha imidlalo esebenzisanayo, amamodeli anobukhulu obuthathu nezigcawu eziguqukayo, unciphise kakhulu isikhathi sokukhiqiza okuqukethwe.
Ukuhamba komsebenzi kwe-Agentic Coding: ngaphakathi kwezinhlaka ezifana ne-Harness, i-Claude Code ne-Codex, yenza imisebenzi yokukhiqiza ikhodi, ukulungisa amaphutha nokuzenzakalela.
Ukwakha izinhlelo zokusebenza ze-AI ezixhumeke ku-inthanethi: sebenzisa i-Search/Fetch API evulekile ukuze wengeze emikhiqizweni amandla okusesha kwesikhathi sangempela nokulanda amakhasi ewebhu.
Ukucubungula umongo omude kakhulu: ngenxa yewindi lama-token afinyelela ezigidini, ingacubungula ngesikhathi esisodwa ikhodi yelabhulali yonke, imibhalo emide namalogi amaningi.