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Balance de évaluation IA pour les classes
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GUIDE de sociétés
Escale IA
Scale AI provides data services used in training and evaluating AI systems, including annotation, human preference feedback, and model testing.
Déglul tegtal biiIA-nettali · ~1 min
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Résumé
These services supply data and evaluation workflows; their value depends on task design, data quality, and coverage.
Plongeur bu xóot
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.
Doxal ci àdduna dëgg
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.
Ëlëgu IA
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.
Teg ko ci jëf
Lu tax mu am solo
- Pexem jaaykat. Kartu yoonu jaaykat yi ñooy wane man-man yi sa ekip mëna tabax ci kanam.
- Njëgg ak budget. Anamu jënd ak jaay ak tànneefi dugal dañu am njeexital ci njëg ak risk ci diir bu xawa yàgg.
- Risk ak kaaraange. Li liggéeyukaay bi di ñaax mooy tëral ni produit bi di doxee, kaaraange gi ak ubbeeku gi.
Moytul
- Koom-koomu ubbite mën na raw stabilite ci def liggéeyu defar dëgg.
- Njëg yi ci API wala coppite ci sàrt yi mën nañu dindi xalaat yi ci guddi gi.
- Dependence ci benn jaaykat dafay yokk njëgu tëjug ak migraasioŋ.
Jéego yi ci topp
- Saytu sa fournisseur yi nga jëfandikoo sa liggéey ak say done.
- Xoolaat mbir yu nëbbu, kaaraange ak sàrti yoon balaa ngay boole.
- Fexe am palaŋu fallback ci model yi wala jaaykat yi.
- Xool notu génne yi suko defee coppite yi ci kàrtu yoon du jaaxal ekip yi.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the Scale AI quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
Luy Scale IA?
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.
Ban jafe-jafe bu mag la Scale IA di njëkka saafara ci defarkati IA yi?
Bisneesu Scale AI mingi defar ay done yu am etiketu kalite bu kawe, ndax model yi dañu baax ci seeni done.
Ban xeetu done la Scale AI bàyyi xelam ci etiketu bi muy tàmbali?
Escale bi dafa tàmbali ci etiketu nataal yi ak done yu kaptër yi ngir oto yuy demal seen bopp, lu melni boxing doxkat yi ak oto yi.
Luy RLHF, di Scale buy jox LLM yi, di tekki?
RLHF mooy jàngale buy dooleel ci feedback nit, muy barab bu nit ñi di range ay génnekaay ngir méngale benn xeetu mbir.
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.
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