Maswali ya Kikatiba ya AI

Majibu na maelezo huonekana unapojibu maswali.

1. Je, ni 'katiba' gani katika AI ya Kikatiba?
   • Mkataba wa kisheria kati ya mtumiaji na kampuni
   • Usanifu wa mtandao wa neural wa mfano
   • Seti iliyo wazi ya kanuni ambazo mtindo hutumia kukosoa na kuongoza majibu yake
   • Orodha ya maneno yaliyopigwa marufuku ya msamiati
2. 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
3. Katika hatua inayosimamiwa ya AI ya Kikatiba, mtindo huo hufanya nini kwa matokeo yake yenyewe?
   • Huifuta bila maelezo
   • Huikosoa kinyume na kanuni na kisha kuirekebisha ili iwe bora zaidi
   • Inatafsiri kwa lugha tofauti
   • Huisimba kwa njia fiche kwa usalama
4. Je, RLAIF inasimamia nini katika hatua ya uimarishaji-kujifunza?
   • Mafunzo ya Kuimarisha kutoka kwa Maoni ya AI
   • Kujifunza kwa Kujirudia Kati ya Kazi za Ndani
   • Mfumo wa AI wa Kuchelewa Kuchelewa
   • Mgawo wa Lebo Nasibu Katika Urekebishaji Mzuri
5. 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
6. 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
7. 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
8. 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