Chikero AI
Scale AI ikambani inopa iyo yepamusoro-mhando yakanyorwa uye yakarongedzwa data inopa masimba emazuva ano maAI modhi.
Pfupiso
It matters because even the best algorithms are only as good as the data they learn from, and Scale built a business out of producing that data at industrial scale.
Kudzika Kwakadzika
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 labs, 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-team. Ruzivo rwakasarudzika — masvomhu, kodhi, kufunga kwemitauro yakawanda — kazhinji kunoda nyanzvi dzekunyora, ndosaka data remhando yepamusoro rakagadzirwa nevanhu rave kushomeka, kwakakosha kupinza.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reChikero AI
Sezvo mamodheru emuganho anopedza kukweshwa zviri nyore mavara ewebhu, kudiwa kuri kuenda kune nyanzvi, giredhi-giredhi revanhu data uye kuongororwa kwakasimba- Scale's sweet spot. Tarisira kukura mukuongororwa kwemhando, kuyedzwa kwekuchengetedza, maejenti ekumisikidza, uye zvibvumirano zvehurumende, pamwe nekunetsana sezvo mamwe maLab makuru anovaka zvikwata zvedata zvemukati kana kuvimba zvakanyanya nedata rekugadzira. Scale irikusundidzirawo muyedzo-se-se-sevhisi uye yekudzivirira maapplication. Kubheja kwayo kwenguva refu: iyo yakavimbika AI ichagara ichida kunyatsoyerwa, yakavakirwa-munhu data uye yakazvimirira ongororo.
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 chatbot mhinduro kurongedza 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.
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.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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Mibvunzo inowanzo bvunzwa
What is 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.
Nderipi dambudziko guru iro Scale AI inonyanya kugadzirisa kune vanogadzira AI?
Scale AI's bhizinesi riri kugadzira yepamusoro-mhando yakanyorwa uye yakarongedzwa data, sezvo modhi dzakangonaka sedata radzo.
Imhandoi yedata iyo Scale AI yakatarisa pakunyora payakatanga?
Chikero chakatanga nekunyora mifananidzo uye sensor data yemotokari dzinozvimiririra, sevanofamba netsoka dzetsiva uye mota.
Ko RLHF, sevhisi Scale inopa maLLMs, inomirirei?
RLHF ndeyeKusimbisa Kudzidza kubva kuMumwe Feedback, uko vanhu vanoisa zvibodzwa kuti vaenzanise modhi.
Nei ruzivo rwakagadzirwa nevanhu rwawedzera kukosha?
Sezvo data rewebhu riri nyore rinopera, mamodheru emuganho anoda nyanzvi, yemhando yepamusoro yedata remunhu — Scale's specialty.
Kuburikidza nemapuratifomu api ayo Scale anotora ayo epasi rose vanyori vevanhu?
Chikero chinoshandisa mapuratifomu akadai seOutlier uye Remotasks kutora uye kubata vanhu vanotsanangura pasi rese.