Overview
Yi imhuri yemhando dzakavhurika uye dzekutengesa mitauro mikuru kubva ku01.AI, yekutanga yekuChina yakavambwa neAI piyona Kai-Fu Lee. Iyo Yi modhi yakawana kutariswa kwekuita kwakasimba kwemitauro miviri (Chinese neChirungu) uye nekuburitswa pachena kune vanogadzira.
Yi Models ne01.AI inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
01.AI (零一万物) yakavambwa muna 2023 naKai-Fu Lee, aimbova mukuru we Google China uye ane mukurumbira AI investor uye munyori. Yayo mureza Yi yakateedzana yakatangwa neiyo Yi-6B uye Yi-34B base modhi, iyo yakapfuura akati wandei akavhurika-modhi mabhodhi ekutungamira kwehukuru hwawo uye aizivikanwa nekubata ese maChinese nechiRungu zvakanaka, pamwe neshanduro dzenguva refu dzinosvika ku200K tokens. 01.AI yakazowedzera hombe uye multimodal modhi (Yi-VL yechiratidzo-mutauro) uye Yi-Mheni modhi inoshandiswa kuburikidza neAPI. Iyo kambani inozviisa pachezvayo sekuvaka ese akavhurika nheyo modhi yenharaunda uye yekutengeserana papuratifomu, ichitsvaga zvikumbiro. Yakasvika muchidimbu chimiro cheunicorn, ichisimbisa kukurumidza kutungamirwa kweChinese AI kutanga kwakakwezva capital panguva ye2023-2024 boom.
Technical Insight
Yi modhi ndeye decoder-chete ma transformer muLlama-architecture mutsara, izvo zvakaita kuti zvive nyore kupinza mune iripo yakavhurika-sosi tooling. 01.AI yakasimbisa kunaka kwedata uye kunyatsogadziriswa pamusoro pesheer scale, ichikakavara kuti data yekudzidzira yakachena inobereka mienzaniso yakasimba paparameter. Yakareba-mamiriro ezvinhu Yi akasiyana anowedzera hwindo rekutarisisa kusvika kune angangoita mazana maviri ematokeni, uye shanduro dzekutaura dzinoenderana neyakatariswa-tuni uye kusimbisa kudzidza kubva mumhinduro dzevanhu kutevera mirairo.
Mastering Yi Models ne01.AI
Yi imhuri yemhando dzakavhurika uye dzekutengesa mitauro mikuru kubva ku01.AI, yekutanga yekuChina yakavambwa neAI piyona Kai-Fu Lee. Iyo Yi modhi yakawana kutariswa kwekuita kwakasimba kwemitauro miviri (Chinese neChirungu) uye nekuburitswa pachena kune vanogadzira. Yi Models ne01.AI inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Yi Models ne01.AI semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvingaitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Yi Models ne01.AI 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 vanonyatso gadzirisa iyo yakavhurika yeYi-34B modhi yeChinese-Chirungu chetsigiro yemutengi pasina kubhadhara per-tokeni muripo weAPI.
Vatsvagiri vanomisikidza Yi vachipesana naLlama naQwen pakufunga kwemitauro miviri uye mabasa ezvinyorwa-refu.
Makambani anoshandisa-refu-chinyorwa Yi vhezheni kupfupisa zvibvumirano zvenguva refu kana mishumo kusvika ku200K tokens.
Vavaki vanosanganisa Yi-VL yemhando yemutauro wechiratidzo kune caption mifananidzo uye kupindura mibvunzo nezve machati.
Maitiro Ekuita
Yi Models ne01.AI mukuita
Vagadziri vanonyatso gadzirisa iyo yakavhurika yeYi-34B modhi yeChinese-Chirungu chetsigiro yemutengi pasina kubhadhara per-tokeni muripo weAPI.
Vagadziri vanonyatso gadzira iyo yakavhurika Yi-34B modhi yeChinese-ChiRungu rutsigiro rwevatengi vasingabhadhare-yechiratidzo API muripo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Yi Models ne01.AI mukuita
Vatsvagiri vanomisikidza Yi vachipesana naLlama naQwen pakufunga kwemitauro miviri uye mabasa ezvinyorwa-refu.
Vatsvagiri vanomisikidza Yi vachipesana naLlama naQwen pakufunga kwemitauro miviri uye mabasa akareba-zvinyorwa Zvikwata zvinowanzowana mhedzisiro iri nani kana vachitsanangudza zvikumbaridzo zvemhando yepamusoro, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Yi Models ne01.AI mukuita
Makambani anoshandisa-refu-chinyorwa Yi vhezheni kupfupisa zvibvumirano zvenguva refu kana mishumo kusvika ku200K tokens.
Makambani anoshandisa-refu-chinyorwa Yi shanduro kupfupisa zvibvumirano zvenguva refu kana mishumo kusvika ku200K tokens 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.
Yi Models ne01.AI mukuita
Vavaki vanosanganisa Yi-VL yemhando yemutauro wechiratidzo kune caption mifananidzo uye kupindura mibvunzo nezve machati.
Vavaki vanosanganisa Yi-VL yemhando-yemutauro modhi kune caption mifananidzo uye kupindura mibvunzo nezve machati 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.
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.