Overview
Scale AI ikambani inopa iyo yepamusoro-mhando yakanyorwa uye yakarongedzwa data inopa masimba emazuva ano maAI modhi. Izvo zvine basa nekuti kunyangwe iwo akanakisa algorithms akangoita senge data ravanodzidza kubva, uye Scale yakavaka bhizinesi kubva mukugadzira iyo data pachiyero cheindasitiri.
Scale AI inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Yakavambwa muna 2016 naAlexandr Wang (aive makore 19) naLucy Guo, Scale AI yakatanga nekunyora mifananidzo yemotokari dzinozvityaira-kudhirowa mabhokisi akatenderedza vanofamba netsoka, mota, uye mitsetse. Inosanganisa vashandi vepasi rose nesoftware yekushandisa uye muchina-akabatsirwa kunyora mazita kuti atsanangure mifananidzo, vhidhiyo, zvinyorwa, lidar, uye sensor data. Sezvo generative AI yakaputika, Scale yakanyura zvakanyanya kune data yeLLM: kunyorerwa kwevanhu vanofarira, kusimbisa kudzidza kubva kumhinduro dzevanhu (RLHF), dzvuku-team, uye nyanzvi yekuongorora. Kuburikidza neiyo Scale Data Injini uye mapuratifomu seOutlier uye Remotasks, inopa vanhu vazivisi pasi rese. Vatengi vakasanganisira automaker, inotungamira AI lab, uye hurumende yeUS kuburikidza neiyo Scale AI yeruzhinji-chikamu uye basa rekudzivirira.
Technical Insight
Scale kukosha kuri kushandura mbishi, messy data kuita yakachena kudzidzisa chiratidzo. Pombi yaro inosanganisa vanyori vevanhu neML modhi inofanobata dhata, pamwe nemhando-yekudzora maseru inobata nekugadzirisa zvikanganiso. Kune maLLM, izvi zvinoreva kuunza zvirevo, kunyora mhinduro dzakakodzera, mamiriro emodhi yeRLHF, uye mhando dzekuyedza-kushushikana kuburikidza nered-teaming. Ruzivo rwakasarudzika — masvomhu, kodhi, kufunga kwemitauro yakawanda — kazhinji kunoda nyanzvi dzekunyora, ndosaka data remhando yepamusoro rakagadzirwa nevanhu rave kushomeka, kwakakosha kupinza.
Mastering Scale AI
Scale AI ikambani inopa iyo yepamusoro-mhando yakanyorwa uye yakarongedzwa data inopa masimba emazuva ano maAI modhi. Izvo zvine basa nekuti kunyangwe iwo akanakisa algorithms akangoita senge data ravanodzidza kubva, uye Scale yakavaka bhizinesi kubva mukugadzira iyo data pachiyero cheindasitiri. Scale AI inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Scale AI semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Scale 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
Kambani inozvimiririra-yemotokari inobhadhara Scale kuti inyore lidar uye data yekamera, inotsanangura mota nevanofamba netsoka yemhando dzekuona.
Muganhu AI lab inoshandisa Chikero cheRLHF, iine mareji emunhu renji mhinduro dzechatbot kuwiriranisa modhi.
Sangano rehurumende rinoita kondirakiti Scale kuti iongorore uye tsvuku-timu yeAI system yekuchengetedza uye kuvimbika.
Mugadziri wemodhi anohaya nyanzvi dzeChikero kunyora dhigirii-level math uye coding mienzaniso kuvandudza kufunga.
Maitiro Ekuita
Scale AI mukuita
Kambani inozvimiririra-yemotokari inobhadhara Scale kuti inyore lidar uye data yekamera, inotsanangura mota nevanofamba netsoka yemhando dzekuona.
Kambani inozvimiririra-yemotokari inobhadhara Scale kuti inyore lidar uye data yekamera, inotsanangura mota uye vanofamba netsoka yemafungiro emhando Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Scale AI mukuita
Muganhu AI lab inoshandisa Chikero cheRLHF, iine mareji emunhu renji mhinduro dzechatbot kuwiriranisa modhi.
Muganhu AI lab inoshandisa Chikero cheRLHF, iine mareji ehuwandu hwemhinduro dzechatbot kuti ienzanise iyo modhi 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.
Scale AI mukuita
Sangano rehurumende rinoita kondirakiti Scale kuti iongorore uye tsvuku-timu yeAI system yekuchengetedza uye kuvimbika.
Sangano rehurumende rinoita kondirakiti Scale yekuongorora uye tsvuku-timu yeAI sisitimu yekuchengeteka uye kuvimbika Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangudza emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Scale AI mukuita
Mugadziri wemodhi anohaya nyanzvi dzeChikero kunyora dhigirii-level math uye coding mienzaniso kuvandudza kufunga.
Mugadziri wemodhiyo anohaya nyanzvi dzeChikero kuti dzinyore vakapedza kudzidza-level math uye coding mienzaniso yekuvandudza kufunga 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.
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.