quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz garabu xalaat

Test yiy génne xalaat, jàngat réew, seetlu ak topp ci ginaaw, boole ci àppu liggéey bu jëm ci njariñu référence yiñ rapoor.

Yooni njiit yu jëm ciGarab giy xalaat
Laaj 1 de 8

Lan moo wuutale garabu xalaat yi ak xalaat yu lalu ci xalaat?

Xoolaatal laaj bu nekk8 laaj

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

  1. Lan moo wuutale garabu xalaat yi ak xalaat yu lalu ci xalaat?
    • Dafay jàngat bànxaasi yu bari ci xalaat te mën na dellu ginaaw
    • Dafay tàggataat xeetu done yu bees
    • Dafay dindi bépp jéego bu diggante xalaat
    • Dafay dox ludul ci defar nataal
  2. Yan ñatti mbir ñoo bokk ci sistemu Garab Xel?
    • Tokenisatër, sampkat, ak dekodatër
    • Generatëru xalaat, jàngat réew, ak algorithm seetlu
    • Encoder, boppu bàyyi xel, ak softmax
    • Dataset, optimisatër, ak fonction perte
  3. In the original Tree of Thoughts Game of 24 experiment, what result did breadth-five search report for its selected test set?
    • 100% success on every possible puzzle
    • 74% for every model and search budget
    • 74% success for GPT-4 with ToT, versus 4% for a single chain-of-thought baseline
    • 4% for ToT and 74% for chain-of-thought
  4. naka lay def ba sistemu garabu xalaat di jàngat ay pexe yu xaaj?
    • Sooy laaj ab base de done bu biti
    • Ni ñuy nattee tàngooru GPU
    • Ni ñuy xaymaa limu jeton yiñ jëfandikoo
    • Sooy laaj model bi mu joxe tolluwaayu etaa yi ni wóorna, mën na am, wala mënu ñu am
  5. Lan mooy dëgg ci jëfandikoo garabu xalaat ci xeetu xalaat bu yàgg?
    • Dafay laaj ak seet wrapper, du tàggataat
    • Dafay laaj ñu tàggataat model bi ci noonu
    • Mën na dox ludul ci hardware buñ jagleel
    • Dafay soppi diisaayu model bi ba fàww
  6. Ban kaadar bu méngoo ak loolu mooy may yooni xalaat ñu boole ak jëfandikoowaat njariñu digg yi?
    • Regresioŋ ligneer
    • Graafiku xalaat
    • Normalisasioŋ ci lots
    • Daggukaayu yaatuwaayu traverse
  7. Which components are commonly specified in a Tree of Thoughts setup?
    • A new tokenizer, an optimizer, and a training corpus
    • A database, a browser, and a GPU driver
    • Thought proposals, an intermediate-state evaluator, and a search procedure
    • A label encoder, a loss scaler, and a checkpoint
  8. Why can Tree of Thoughts increase inference cost?
    • It always retrains the base model
    • It requires a separate model for every token
    • It eliminates all model calls after the first thought
    • It may generate and evaluate multiple candidate states across search steps