Kufungidzira Decoding neEAGLE Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndeipi pfungwa huru kumashure kwekufungidzira decoding?
   • Iyo yakachipa dhizaini inokurudzira akawanda tokeni ayo hombe modhi inosimbisa mune imwe yakafanana pass
   • Kudzvanya uremu hwemuenzaniso kusvika pahafu chaiyo
   • Kusvetuka zvidimbu zvenetiweki chero nguva
   • Chengetedza chirevo chega chega chinobuda pamberi
2. EAGLE inosiyana sei nemaitiro ekare ekufungidzira ekudhirodha?
   • Inobvisa danho rekusimbisa zvachose
   • Iyo inodhirowa munzvimbo yakavanzika yemuenzaniso panzvimbo pane yakananga padanho rechiratidzo
   • Inoshandisa yakaparadzana zvachose, modhi yakakura sedhizaini
   • Inongoshanda chete kugadzira mufananidzo
3. Why is speculative decoding considered lossless when implemented with exact verification?
   • Every draft token is accepted unconditionally
   • The drafter always predicts the target’s next token
   • The acceptance and correction procedure preserves the target model’s output distribution
   • The target model is never evaluated
4. Nderipi dambudziko riri muchikamu cheEAGLE kunyora rinobatsira kudzoreredza kunyudzwa kwechiratidzo chekare?
   • Memory kupatsanurwa paGPU
   • Tokenizer kusawirirana pakati pemitauro
   • Kupisa kwehardware
   • Kusavimbika/kusajeka kwekufanotaura chinotevera chimiro
5. Chii chakawedzera EAGLE-2 pamusoro peiyo yepakutanga EAGLE?
   • Muti unochinja unogadzirisa kuti vangani vavhoti vanyore
   • A fixed single-token draft
   • Kubviswa kwemusoro weLM
   • Kudzidzira pane kaviri data chete
6. Sei iyo autoregressive bottleneck ichiita kuti pachena LLM chizvarwa chinonoke?
   • Iyo modhi inozvidzora pachayo mushure mechiratidzo chega chega
   • Chiratidzo chitsva chega chega chinoda kumberi kuzere kuburikidza nemabhiriyoni emaparamita isati yatanga
   • Zviratidzo zvinochengetwa pa diski pakati pematanho
   • Iyo GPU inofanirwa kutangazve pane tokeni
7. After EAGLE predicts a hidden-state feature, which component turns that feature into candidate token probabilities?
   • The tokenizer’s vocabulary file alone
   • The optimizer’s momentum buffer
   • The target model’s language-model head
   • The KV-cache allocator
8. What change does EAGLE-3 make to the original feature-drafting constraint?
   • It replaces the target model with a tokenizer
   • It disables target verification
   • It requires a separate human drafter
   • It removes a feature-prediction constraint to improve scaling