quiz bu lëkkale ak tegtal · Diggante Niveau

Kahneman-Tversky

Saytu feedback bëgg-bëggu binaire bu KTO, motivasioŋ theorie prospect, neexal yi ci poñ de royuwaay, ak àpp ci jekkal yi.

Yooni njiit yu jëm ciKahneman Tversky
Laaj 1 de 8

Ban xeetu done la KTO soxla?

Xoolaatal laaj bu nekk8 laaj

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

  1. Ban xeetu done la KTO soxla?
    • Binaire etiketu bëgg/bëggul ci genn-wàll benn-benn
    • Ñaari tontu yuñ tànn ak yiñ bañ
    • Bind bu amul etiket kese
    • Neexal bu am poñ yu tàmbalee ci 0 ba 100
  2. Ban liggéey moo inspiré KTO?
    • Relativite bu Einstein
    • Doxalinu Kahneman ak Tversky
    • Evolusioŋ bu Darwin
    • Teori xibaar bu Shannon
  3. Luy 'bañ ñàkk' ni ñu ko jëfandikoo ci KTO?
    • Moytu bépp ñàkka fonction bu mat sëkk
    • Baña tàggat ci ñàkk
    • Yar liggéey bu baaxul moo gëna ñaawe neexal liggéey bu baaxul
    • Def taxawaayu jàng bi negatif
  4. What kind of feedback can KTO learn from without requiring paired comparisons?
    • Only a ranked list of five outputs
    • Only a reference translation
    • Only a token-level grammar mask
    • A binary label indicating whether an individual output is desirable
  5. Ci KTO, deviation yi ñu ngi leen di natt ci lan?
    • Puntu de referansi wala niveau de récompense de base
    • Limu parametre yépp
    • Tàngooru GPU bi
    • Dayo vokabileer bi
  6. What does the KTO reference point help define?
    • The number of transformer layers
    • Whether an output’s implicit reward is above or below a baseline
    • A fixed translation in another language
    • The model’s maximum context length
  7. Does KTO’s use of binary desirability feedback prove it will outperform preference-pair methods?
    • Yes, binary feedback is always superior
    • Yes, it eliminates the need to train a model
    • No; performance depends on the model, data, and evaluation setting
    • No, because binary feedback cannot be used for language models
  8. Which behavioral-economics framework motivates KTO?
    • Classical signal detection theory
    • Bayesian network structure learning
    • The efficient-market hypothesis
    • Kahneman and Tversky’s prospect theory