Laaj ak tontu yu bari

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Lan mooy Multi-Query Attention bokk ci bépp boppu bàyyi xel?
   • Benn xeetu caabi ak valeur
   • Projection laaj yi
   • Tamperatiir softmax bi
   • poids de couche de sortie
2. Lan mooy jafe-jafe bi njëkk bi MQA di saafara ci jamonoy defar autoregressive?
   • Reputation calcul à point flottant
   • Yaatuwaayu mémoire biy joge ci yobbu cache KV
   • limu jamonoy tàggat yaram
   • Dayo vokabileer tokenizer
3. Ci ban facteur la MQA di wàññi cache KV bi?
   • Guddaayi fi ñuy toppalante
   • ci dayo lote bi
   • ci limu nit ñiy bàyyi seen xel ci
   • Soppiwul dayo cache KV
4. Lan mooy njariñ li gëna am solo ci jëfandikoo MQA?
   • Inference bu gëna yeex
   • Mënul jëfandikoo bopp yu bari
   • Dafay laaj done yu gëna bari
   • Kalite model bi wàññeeku tuuti
5. Ban anam moo nekk ci digganté bàyyi xel ci bopp yu bari ak MQA?
   • Laajte buñ boole
   • Palanteer buy gliise
   • Flash Fexe
   • Fexe lu néew
6. Kan moo tàmbale bàyyi xel ci laaj yu bari?
   • Jeofrey Hinton
   • Noam Shasier
   • Yann Lekun
   • Andréj Karpati
7. In Multi-Query Attention, what remains separate for each attention head?
   • The shared key projection
   • The shared value projection
   • The query projection
   • The token sequence itself
8. How does Grouped-Query Attention differ from standard MQA?
   • It shares query projections but gives every head separate keys and values
   • It removes attention and replaces it with a recurrent layer
   • It groups output vocabulary tokens instead of attention heads
   • It shares keys and values within several groups of query heads rather than across all heads at once