quiz bu lëkkale ak tegtal · Diggante Niveau
Quiz IA bu sàrtu ndayu réew
Xoolaat tànneefi IA yiñ tëral ci sàrtu ndayu réew mi, ak ay njàngale yuñ bind, ŋàññi ak xoolaat, tànneefi IA, ak done yuñ denc ci jàppale nit ñi.
Laaj 1 de 8
Luy 'sàrtu ndayu réew' ci IA bu sàrtu ndayu réew?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Luy 'sàrtu ndayu réew' ci IA bu sàrtu ndayu réew?
- Kontra legal diggante jëfandikukat bi ak liggéeyukaay bi
- Architecture reso neuronal bu model bi
- Ay njàngale yu leer yuñ bind, model bi dafay jëfandikoo ngir ŋàññi ak tegtal tontu boppam
- Limu baatu vokabileer yiñ tere
- What annotation burden does the original Constitutional AI study aim to reduce?
- Every possible source of human judgment or training data
- All model memory during inference
- The need to evaluate any model behavior
- Reliance on human labels identifying harmful outputs
- Ci etap bi ñuy saytu ci IA konstitusioneel, lan la model bi di def ci génne boppam?
- Dafa koy efaase te kenn joxewul leeral
- Dafay ŋàññi njàngale mi, ba noppi mu xoolaat ko ngir gëna baax
- Tekki ko ci beneen làkk
- Encrypter ko ngir kaaraange
- Lan mooy RLAIF ci wàllu jàng-jàngat buy dooleel?
- Jàngat bu am doole ci feedback IA
- Jàng rekursif ci biir fonction yi
- Kadre IA bu wàññi Latency
- Devoir étiquette aléatoire dans le fine-tuning
- What transparency benefit can written constitutional principles provide?
- A complete display of every learned internal preference
- Proof that every future response follows all principles
- Automatic elimination of the preference model
- An inspectable statement of intended guidance used in the process
- Which broader research idea does using AI-generated supervision support?
- Eliminating every evaluation by definition
- Exploring how AI can help supervise other AI systems
- Guaranteeing zero cost for all future training
- Automatically increasing every model’s vocabulary
- Does editing a constitution document alone retroactively change the weights of an already saved trained model?
- No; a training or runtime process must use the changed guidance
- Yes; all saved checkpoints instantly rewrite themselves
- Yes; written words directly become new neural weights without execution
- No model process can ever consume written principles
- Which human comparison data did the original Constitutional AI RL experiments retain alongside AI harmlessness preferences?
- Only human GPU-temperature measurements
- No human comparison data of any kind
- Human helpfulness comparisons
- A mandatory human label for every harmlessness pair