InoteveraGaidhi rinotevera
Iyo AI Yekuongorora Chiyero cheMakirasi
Nzanga
Makambani GUIDE
Chikero AI
Scale AI provides data services used in training and evaluating AI systems, including annotation, human preference feedback, and model testing.
Teerera kugwaro iriAI-yakarondedzerwa · ~1 min
Pa peji ino1 min verenga
Pfupiso
These services supply data and evaluation workflows; their value depends on task design, data quality, and coverage.
Kudzika Kwakadzika
Scale AI was founded in 2016 and initially focused on data labeling for applications such as autonomous driving. Its Data Engine and Generative AI Data Engine describe services for data annotation, curation, human feedback, evaluation, and safety testing. Scale identifies Outlier as a specialized contributor platform. RLHF can use human comparisons or rankings of model responses to construct preference signals. Red-teaming probes a model or system with adversarial or misuse scenarios. These services support data and evaluation work but do not guarantee model quality, safety, or performance beyond the tested tasks.
Kuitwa muNyika yeChokwadi
Label objects in vehicle images for a perception dataset.
Collect preference comparisons between candidate language-model responses.
Use subject-matter experts to write or evaluate examples for a specified task.
Run red-team tests against a model and document the vulnerabilities found.
Ramangwana reChikero AI
The company’s data and evaluation offerings change over time. Teams should verify the exact service, workforce, data handling, and quality-control process for a project and treat evaluation coverage as bounded by its test design.
Kuzvishandisa
Nei zvichikosha
- Nzira yemutengesi. 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.
Chenjera
- 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.
Matanho anotevera
- 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
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Scale AI quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
What is Scale AI?
Scale AI provides data services used in training and evaluating AI systems, including annotation, human preference feedback, and model testing. These services supply data and evaluation workflows; their value depends on task design, data quality, and coverage.
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.
Why can expert-generated training examples help improve a model?
Expert examples and preference feedback can target skills or evaluation needs. Their value depends on data quality, coverage, and the model-training objective; they do not guarantee general capability.
Which platform does Scale AI identify as part of its specialized GenAI contributor ecosystem?
Scale describes Outlier as part of its product and contributor ecosystem for generative-AI work; services and contributor availability vary.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi