quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz modeling bu yàgg

Xoolaat palanteer yi, njëgu bàyyi xel, seetlu bu xarañ ci position, FlashAttention ak jàngat jëfandikoo ëmbiit bu baax.

Yooni njiit yu jëm ciModeling kontekst bu gudd
Laaj 1 de 8

Luy 'palanteeru kontekstu' model bi?

Xoolaatal laaj bu nekk8 laaj

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

  1. Luy 'palanteeru kontekstu' model bi?
    • Limu token yi mu mëna am ci benn yoon
    • Dayo ekraŋu interfaasu waxtaan
    • Limu jëfandikukat yiñ may benn yoon
    • Ban diir lañu tàggat model bi
  2. Lan moo waral bàyyi sa xel ci sa bopp di seer lool ci ay dugal yu yàgg?
    • Dafay màgg ci anam wu jaar yoon, te daa yomb
    • ordinatëram ak mémoire bi dañuy màgg quadratiquement ak guddaayi sekans yi
    • Mënul jàng lu ëpp benn token
    • Ci nataal kese lay dox
  3. Luy jafe-jafe 'réer ci digg'?
    • Model yi fàtte nañu seen tàggat
    • Model yi mën nañu jàng ludul ci diggu këyit bi
    • Modèle yi dañuy fàttaliku xibaar yi ci ndoorte ak ci njeexte ab dugal bu gudd, moo gën liñu suul ci digg bi
    • Model yi tekki digg bi ci beneen làkk
  4. Lan mooy gëna suqali FlashAttention?
    • Dafay tax model bi di génne mbind mu gëna gudd
    • Dafay yokk yeneen done ci saasi
    • Dina dindi bépp bëgg-bëggu bàyyi xel
    • Dafay wàññi jafe-jafe yi ci mémoire bi ak IO-aware, ordinatër buñ defaree carreaux
  5. Ban cër la position rotary (RoPE) di def ci xeetu contexte yu gudd yi?
    • Dañuy kode barabi jeton yi, ak interpolaasioŋ, jàppale ci yamale ci toppalante yu gëna gudd
    • Dañuy efaase ay jeton ci duggal gi
    • Dañuy tekki mbind ci diggante làkk yi
    • Dañuy denc diisaayu model bi
  6. What does prompt-cache research reuse across compatible requests?
    • The final answer regardless of the new query
    • Computed attention state for reusable prompt segments
    • A fixed set of token IDs without model computation
    • The model’s training data
  7. What does the RULER benchmark add beyond locating one isolated “needle” fact?
    • Xeetu nataal kese
    • Audio transcription from waveforms
    • Tasks such as multi-hop tracing and aggregation over long contexts
    • GPU memory allocation benchmarks
  8. Why test several task types when measuring a model’s effective context length?
    • Every task uses the same computation
    • The advertised window guarantees all tasks work
    • Task type never affects context use
    • A model may handle simple retrieval yet fail to combine or track information across a long input