Xoojinta Barashada Kediska Jawaab celinta Aadanaha

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay ujeedada ugu weyn ee RLHF ee qaabka luqadda?
   • Si loo waafajiyo wax soo saarkeeda iyo dookhyada bini'aadamka ee caawinta iyo badbaadada
   • Si loo kordhiyo tirada cabbirka moodeelka
   • Si aad u cadaadiso moodalka si aad u hesho fikrad degdeg ah
   • Si loogu turjumo qaabka luqadaha kale
2. Muxuu qaabka abaalgudka ee RLHF dhab ahaantii u bartaa inuu sameeyo?
   • Samee jawaabaha ugu dambeeya isticmaalayaasha
   • U turjun soo jeedinta lacag abaalmarin ah
   • U qoondee dhibco miisaan leh oo ka tarjumeysa inta ay bani'aadamku doorbidayaan jawaabta la bixiyay
   • Go'aami heerka waxbarashada moodeelka
3. What does a KL-divergence penalty against a reference policy aim to regularize in an RLHF objective?
   • Every factual error with a complete correctness guarantee
   • How far the optimized policy departs from the reference
   • The tokenizer vocabulary’s spelling
   • The number of human annotators automatically
4. Sidee baa xogta dookhsiga loo ururiyaa qaabka abaal-marinta?
   • Aadamuhu meel eber ayay ka qoraan jawaabo cusub
   • Qaabku wuxuu qiimeeyaa kalsoonidiisa
   • Calaamadaha aan tooska ahayn ayaa si toos ah loogu meeleeyaa
   • Bini'aadamku waxay barbar dhigaan laba jawaabood oo moodal ah isla markiiba waxayna doortaan mid ka wanaagsan
5. Faa'iido intee le'eg ayay DPO (Direct Preference Optimization) ka bixisaa dhuumaha caadiga ah ee RLHF?
   • Wax xog ah uma baahna haba yaraatee
   • Waxay dammaanad qaadaysaa in moodelku aanu waligii khaldami karin
   • Waxay si toos ah uga wanaajisaa siyaasadda lammaanaha doorbidka ah, iyada oo ka boodaysa qaab abaal-marineed oo gaar ah iyo loop PPO
   • Waxay meesha ka saaraysaa baahida loo qabo tababbarka hore
6. Gudaha RLAIF iyo Dastuuriga ah ee AI, halkee ayay jawaab celintu ka timi?
   • Laga soo bilaabo qaabka AI ee soo saaraya ama dhaleeceynaya jawaabaha, hoos u dhigista calaamadaynta aadanaha
   • Keliya ka soo tarjumayaasha bini'aadamka ee lacag bixinta ah
   • Laga soo bilaabo koronto-dhaliyeyaasha lambarka random
   • Si toos ah uga soo jeeda moodeelka horudhaca tababarka
7. An RLHF response receives a high learned reward but contains a false claim. What does this show?
   • High reward proves the claim is true
   • The response must have been generated without tokens
   • The reference model’s vocabulary disappeared
   • A preference-based reward is a proxy and can be mistaken
8. Why should an RLHF team examine whose preference comparisons were collected?
   • Annotator identity determines the GPU clock rate
   • The judgments and task distribution shape what the model is rewarded for
   • Every population has identical response preferences
   • Preference data affect only file compression