Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Hagaajinta Siyaasadda Ku Dhaw

Dib u eeg goynta PPO, saamiga siyaasadda, ilaha abaal-marinta, ganaaxyada KL, dhaleecaynta, faa'iidooyinka, iyo qaabka-luqada ee xadka RLHF. Hubi fikradaha iyo baaxadda.

Wadooyinka haga ee la xidhiidhaKordhinta Siyaasada Ku Dhaw
Su'aal 1 ee 8

Dhibaato noocee ah ayaa marka ugu horaysa wax ka qabta PPO's 'jaridda'?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Dhibaato noocee ah ayaa marka ugu horaysa wax ka qabta PPO's 'jaridda'?
    • Siyaasadda aadka u weyn ee cusboonaysiinta taas oo carqaladaysa tababarka
    • Soo dejinta xogta oo gaabis ah
    • Xadka cabbirka erayada
    • Isticmaalka xusuusta inta lagu gudajiro fikradda
  2. Qaabka luqadeed ee RLHF ee leh PPO, halkee buu ka yimaadaa calaamada abaalgudka inta badan?
    • Dhibcaha tooska ah ee bini'aadamka ee calaamad kasta
    • Qaab abaal marin ah oo tababaran
    • Heerka waxbarashada wanaajiya
    • Cabbirka ereyada
  3. Muxuu ku sameeyaa ciqaabta kala-duwanaanshaha KL ee RLHF-ku-saleysan PPO?
    • Waxay dardar gelisaa jiilka calaamaduhu
    • Waxay kordhisaa saxnaanta moodeelka
    • Waxay ka ilaalisaa qaabka si fiican loo habeeyey inuu aad uga fogaado qaabka tixraaca
    • Waxay meesha ka saartaa baahida shabakadda qiimaha
  4. Waa maxay doorka shabakada qiimaha (naqdiye) ee PPO?
    • Si loo dhaliyo qoraalka u dambeeya
    • Si loo kaydiyo xogta tababarka
    • Si aad u bedesho qaabka abaal-marinta gabi ahaanba
    • Si loo qiyaaso soo noqoshada la filayo si faa'iidooyinka loo xisaabiyo
  5. Maxay 'faa'iidada' ka dhigan tahay PPO?
    • Intee in le'eg ayay falku ka fiicnaayeen gundhigga la filayo
    • Wadarta cabbirka cabbirka moodeelka
    • Kala goynta
    • Isku-dhafka ciqaabta KL
  6. What distinguishes GRPO from PPO in the DeepSeekMath paper?
    • It removes all policy sampling and optimizes only supervised labels
    • It estimates relative advantages from groups of sampled responses without a separate value critic
    • It uses a trained reward model as a value network
    • It guarantees zero policy drift after one update
  7. What probability ratio does PPO clip in its surrogate objective?
    • The reward divided by the number of prompts
    • The value estimate divided by the KL coefficient
    • The new policy’s action probability divided by the old policy’s action probability
    • The sequence length divided by batch size
  8. Why is PPO called an on-policy method in its standard form?
    • It trains only on a static image dataset
    • It never samples actions
    • It updates only a reward model
    • It collects trajectories using the current policy being optimized