Kedis ku xidhan hagaha · Adag Heerka

Caadiyan Abaalmarinta Kooxaysan ee RLHF Kediska

Baro sida GRPO u barbar dhigto jawaabaha muunadyada ah ee koox degdeg ah, ka saarta dhaleeceynta, oo u isticmaasho ujeeddada qaabka PPO ee cusboonaysiinta siyaasadda.

Wadooyinka haga ee la xidhiidhaCaadiyan Abaalmarinta Kooxaysan ee Rlhf
Su'aal 1 ee 8

Abaalmarinta kooxaysan ee caadiga ah, waa maxay abaalgudka jawaab kasta marka la barbar dhigo?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Abaalmarinta kooxaysan ee caadiga ah, waa maxay abaalgudka jawaab kasta marka la barbar dhigo?
    • Celceliska iyo weecashada caadiga ah ee kooxdeeda degdegga ah
    • Joogto joogto ah oo caalami ah
    • Abaalmarinta waayihii hore
    • Qiyaasta moodeelka
  2. Algorithmmeekee ayaa inta badan la xidhiidha caadiyaynta abaalgudka kooxaysan?
    • Dheef-shiid kiimikaad
    • GRPO (Kooxda Siyaasadda Qaraabada)
    • K-macnaheedu waa kooxaysi
    • Dib u faafinta
  3. Waa maxay qayb ka mid ah PPO-ga caadiga ah ee GRPO si gaar ah u baabi'iyo?
    • Qaabka abaalgudka
    • Shabakadda neerfaha oo dhan
    • Shabakadda qiimaha gaarka ah (naqdiye)
    • Xogta tababarka
  4. Maxaa ku dhacaya jawaabta abaalgudkeedu ka hooseeyo macnaha kooxdeeda?
    • Waxay helaysaa faa'iido wanaagsan waana la xoojiyaa
    • Waa laga tirtiray kaydka xogta
    • Abaalkeedu waa labanlaab
    • Waxay helaysaa faa'iido taban waana la niyad jabiyaa
  5. What does within-prompt reward normalization provide to a GRPO update?
    • A relative, scaled advantage for each response compared with others for the same prompt
    • A guarantee that all prompt difficulty differences disappear
    • A higher learning rate
    • A way to make every response receive the same reward
  6. What happens when every response in a prompt group receives the same reward?
    • Every response gets a positive advantage
    • Centering gives no relative advantage; zero spread also requires numerical handling
    • The group mean doubles the reward
    • The model stops needing a policy objective
  7. Which PPO-style update element does GRPO retain?
    • A separately learned value network
    • K-means clustering over tokens
    • A clipped policy objective
    • A language-model tokenizer
  8. What can a KL penalty relative to a reference policy help constrain in GRPO?
    • The number of prompts in each group
    • The length of the tokenizer vocabulary
    • The resolution of generated images
    • How far the updated policy drifts from the reference policy