Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Feejignaanta Daaqadda simbiriirixaya

Dib u eeg waji-xidhka dareenka maxaliga ah iyo cabirka daaqada go'an, oo leh goobo soo dhawayneed oo is dulsaaran, khasnado duuban, lakabyada Gemma 2, iyo calaamado caalami ah oo Longformer ah.

Wadooyinka haga ee la xidhiidhaFeejignaanta daaqada simbiriirixaya
Su'aal 1 ee 8

With fixed window W, how does the pairwise attention term N times W scale as sequence length N increases?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. With fixed window W, how does the pairwise attention term N times W scale as sequence length N increases?
    • Quadratically in N despite W being fixed
    • Exponentially in the vocabulary size by definition
    • It never changes as any tokens are added
    • Linearly in N
  2. How can stacked local attention layers propagate information beyond one layer’s direct neighborhood?
    • By guaranteeing perfect recall of every earlier token
    • Through intermediate representations passed across successive layers
    • By randomly moving the original input’s coordinates
    • By eliminating the need for all learned weights
  3. For a purely local causal attention layer, why can cache policy discard keys older than its active window?
    • Those keys are outside that layer’s allowed direct attention links
    • Every model layer must therefore have an identical whole-model memory bound
    • Older tokens are always irrelevant to every possible task
    • The model’s original weights have been deleted
  4. What attention pattern does the Gemma 2 report describe across its layers?
    • Only one permanently disconnected input token
    • No positional or attention computation anywhere
    • Alternating local sliding-window and global attention
    • A mandatory single identical local neighborhood for all models
  5. Daaqad simbiriirixan sabab u ah cabbirka W, furayaalkee ayaa weydiin kara booska aan xaadiro?
    • Dhammaan jagooyinka mustaqbalka ka dib i
    • Jagooyinka i laga jaray W lagu daray 1 ilaa i
    • Kaliya booska 0
    • Qayb hoose oo random ah ee jagooyinka oo dhan
  6. In the Mistral report’s rolling cache, which slot stores the keys and values for timestep i with buffer size W?
    • A new permanent slot numbered i+W with no reuse
    • Only slot zero for every timestep
    • The slot at i modulo W
    • A slot chosen by the output token’s alphabetical order
  7. Waa maxay qiimaha context_len ee ku qoran miiska qaab-dhismeedka Mistral 7B, oo ka madax-bannaan ballaadhan ee aragtida guud ee la isku xidhay?
    • 4096 tokens
    • 131072 tokens
    • 32 tokens
    • 8192 tokens
  8. Sida uu naqshadeynta siman ee guud ee Longformer uu sheegay, sidee ayuu token-ka guud ee la doortay ugu xiran yahay tokens kale ee taxanaha?
    • Wuxuu ku fiiqayaa oo ay ku fiiqaan isaga
    • Wuxuu ka heli karaa fiiqid ka mid ah token kale
    • Wuxuu u baahan yahay in uu iska indho-tiro dhammaan token-ka ka baxsan daaqadiisa maxalliga ah
    • Wuxuu u baahan yahay in dhammaan token-ka aan guud ahayn la tirtiro