Quiz IA Escale

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Ban jafe-jafe bu mag la Scale IA di njëkka saafara ci defarkati IA yi?
   • Joxe done tàggat yu am etiketu kalite bu kawe
   • Defar chips ordinatër
   • Defar ay navigateur web
   • Defar ay batëri
2. Ban xeetu done la Scale AI bàyyi xelam ci etiketu bi muy tàmbali?
   • Enregistrement musical
   • Nataali oto yuy dawal seen bopp
   • Ticker yu marse bourse
   • Done yu bawoo ci satelit
3. Luy RLHF, di Scale buy jox LLM yi, di tekki?
   • Fonction hash bibliothèque aléatoire
   • Kadar hardware logic bu gaaw
   • Jàngat bu am doole ci feedback nit
   • Format dalal làkk rekursif
4. Why can expert-generated training examples help improve a model?
   • They guarantee the model will be correct on every future task
   • They remove the need to evaluate the model
   • They replace all training data with synthetic labels
   • They provide task-specific demonstrations or feedback for capabilities not well represented in available general data
5. Which platform does Scale AI identify as part of its specialized GenAI contributor ecosystem?
   • Outlier
   • Topp MLflow
   • Katalog Unity
   • Kodek
6. Ginaaw etiketu, ban serwiisu kaaraange IA la Scale di joxe?
   • Jaay losisel antivirus
   • Red-teaming ak jàngat xeetu kaaraange ak wóor
   • Defar ay telefon yu xarañ
   • Defar jeu video
7. What kind of judgment data is commonly used in RLHF?
   • Only the model’s parameter file names
   • A list of GPU serial numbers
   • Human comparisons or rankings of model responses
   • Unlabeled images with no task signal
8. What is the purpose of red-teaming an AI model or system?
   • Guarantee that the system can never fail
   • Replace all model training data
   • Measure only GPU temperature
   • Probe it with adversarial or misuse scenarios to identify safety weaknesses