Overview
Nous Tsvagiridzo inzvimbo inofambiswa nenharaunda AI lab inozivikanwa nekugadzirisa zvakanaka-yakakurumbira mamodheru akavhurika kuva vanogona kwazvo, vabatsiri vadiki-vane zvipingaidzo uye nekusundidzira kudzidziswa kwakadzika. Inoratidza kuti timu diki pamwe neyakavhurika-sosi nharaunda inogona kukwikwidza pamhando yemhando pasina kuve nehukuru hwezvivakwa.
Nous Tsvagiridzo inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Nous Tsvagiridzo yakakwira mukurumbira nekutora mamodheru akavhurika, kunyanya Meta's Llama family and Mistral, nekunyatsoagadzirisa muchikamu chinoshandiswa zvakanyanya cheHermes neCapybara. Yavo OpenHermes uye Nous Hermes modhi yakave mamwe eakanyanya kudhawunirodha-tunes paHugging Face, akakosheswa neakasimba kuraira-kutevera uye kusimbisa kusimba pane kurema kuramba maitiro. Pamusoro pekugadzirisa zvakanaka, Nous akagadzirisa dambudziko rakaoma: kudzidziswa kwakagoverwa. Tsvagiridzo yavo yeDiTrO uye DeMo optimizer inovavarira kutema bandwidth yekutaurirana inodiwa pakati peGPUs, uye network yePsyche inoongorora kudzidzisa mamodheru akakura munzvimbo dzakapararira, internet-yakabatana hardware. Ivo vakaedzawo neturusi-kushandisa uye kufunga-yakatarisana modhi, vachizvimisa ivo pachavo pamuganho wakavhurika, wakasarudzika AI.
Technical Insight
Mazhinji emhando dzaNous haana kudzidziswa kubva pakutanga; vanoshandisa yakatariswa-tuning uye yekuda optimization (seDPO) pamusoro peakavhurika base huremu vachishandisa yakanyatso curated synthetic uye datasets evanhu. Basa ravo rakagoverwa-yekudzidzisa rinorwisa bandwidth bhodhoro: kazhinji maGPU anofanirwa kuchinjanisa hombe gradient inogadziridza nhanho imwe neimwe. DisTrO/DeMo compress uye decouple izvi zvigadziriso kuitira kuti node dzidzidzire pamwechete pamusoro peakajairwa internet link pane kuda yakanyatsobatanidzwa datacenter yekubatanidza.
Mastering Nous Research
Nous Tsvagiridzo inzvimbo inofambiswa nenharaunda AI lab inozivikanwa nekugadzirisa zvakanaka-yakakurumbira mamodheru akavhurika kuva vanogona kwazvo, vabatsiri vadiki-vane zvipingaidzo uye nekusundidzira kudzidziswa kwakadzika. Inoratidza kuti timu diki pamwe neyakavhurika-sosi nharaunda inogona kukwikwidza pamhando yemhando pasina kuve nehukuru hwezvivakwa. Nous Tsvagiridzo inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Nous Tsvagurudzo semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo system inogona kuita nekuvimbika kubva kune ichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Nous Tsvagiridzo inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Vagadziri vanomhanyisa Nous Hermes uye OpenHermes modhi munharaunda kune yakavanzika, inotungamira chat vabatsiri pasina mutengo weAPI.
Vatsvagiri vanotaura nzira dzeNous's DisTrO uye DeMo pavanenge vachiongorora bandwidth-inoshanda yakagoverwa modhi yekudzidziswa.
Hobbyists uye makambani madiki-tune-tune paNous's akaburitswa dhatabheti kuvaka domain-chaiwo vabatsiri.
Iyo Psyche network inoshandiswa kuyedza mamodheru ekudzidzisa munzvimbo dzese dzakagoverwa anozvipira maGPU.
Maitiro Ekuita
Nous Research mukuita
Vagadziri vanomhanyisa Nous Hermes uye OpenHermes modhi munharaunda kune yakavanzika, inotungamira chat vabatsiri pasina mutengo weAPI.
Vagadziri vanomhanyisa Nous Hermes neOpenHermes modhi munharaunda kune yakavanzika, inofambiswa chat vabatsiri vasina API mutengo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Nous Research mukuita
Vatsvagiri vanotaura nzira dzeNous's DisTrO uye DeMo pavanenge vachiongorora bandwidth-inoshanda yakagoverwa modhi yekudzidziswa.
Vatsvagiri vanodudza nzira dzeNous's DisTrO neDeMo pavanenge vachiongorora bandwidth-inoshanda yakagoverwa modhi yekudzidzisa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Nous Research mukuita
Hobbyists uye makambani madiki-tune-tune paNous's akaburitswa dhatabheti kuvaka domain-chaiwo vabatsiri.
Hobbyists nemakambani madiki-tune paNous's akaburitswa dhatabheti kuti vavake domain-chaiwo vabatsiri Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Nous Research mukuita
Iyo Psyche network inoshandiswa kuyedza mamodheru ekudzidzisa munzvimbo dzese dzakagoverwa anozvipira maGPU.
Iyo Psyche network inoshandiswa kuyedza mamodheru ekudzidzisa munzvimbo dzese dzakagovaniswa vanozvipira maGPUs Matimu anowanzo kuwana zvirinani kana atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.