Kediska Go'aaminta Malaha

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. How does speculative decoding speed up generation from a large model?
   • Nashqada qabyada ah ee yar ayaa qiyaaseysa dhowr calaamadood oo qaabka weyni uu si siman u xaqiijiyo
   • Ku cadaadi qaabka nus cabbirkiisa si joogto ah
   • Ka saarida habka dareenka
   • Ku tababar qaabka xog badan
2. For a large model at low batch size, why can one-token autoregressive decoding be slow?
   • Each token requires internet access
   • Repeated reads of large model weights can make decoding memory-bandwidth bound
   • The model permanently stores a full copy of every possible output
   • The tokenizer performs the model’s matrix multiplications
3. In greedy speculative decoding, what happens at the first token where draft and target predictions disagree?
   • The whole conversation is thrown away and restarted from scratch
   • Qaabka qabyada ah ayaa isla markiiba dib loo tababaray
   • The matching prefix is kept, the target token is used at the mismatch, and later draft tokens are discarded
   • Tayada wax-soo-saarka ayaa si joogto ah hoos u dhigta
4. Under exact speculative sampling, how does the output distribution compare with sampling from the target model alone?
   • It is always lower quality but faster
   • It is identical only when the draft model is larger
   • It becomes deterministic regardless of target sampling
   • It is identical in distribution
5. Maxaa sida tooska ah u go'aamiya xawaaraha ka soo dejinta malo-awaalka ah?
   • Heerka aqbalaadda ee qiyaasaha moodeelka qabyada ah
   • Midabka GPU-da
   • Dhererka magaca tusaalaha
   • Waqtiga maalinta
6. Maxay Medusa iyo EAGLE ka dhexeeyaan marka la soo dhawaado?
   • Waxay u baahan yihiin hardware quantum
   • Waxay meesha ka saarayaan baahida loo qabo qaab qabyo ah oo gooni ah
   • Waxay tirtiraan qaabka bartilmaameedka
   • Waxay kaliya ku shaqeeyaan sawirada
7. What should a serving team measure before claiming speculative decoding will speed up its workload?
   • Only the target model’s parameter count
   • Only whether the draft produces fluent text
   • Draft cost, target verification cost, accepted tokens and end-to-end latency under representative traffic
   • The number of tokenizer files
8. In exact speculative sampling, what happens when a proposed token is rejected?
   • The whole conversation is discarded
   • The target model is permanently changed
   • The rejected token is kept without verification
   • A correction step samples from the distribution needed to preserve the target model’s output distribution