Kahneman-Tversky Optimization Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Imhandoi yedata inoda KTO?
   • Mabhinari anodiwa/asingadikanwi pane zvakabuda zvega
   • Zvikamu zviviri zvemhinduro dzakasarudzwa uye dzakarambwa
   • Mavara asina kunyorwa chete
   • Numeric mubairo zvibodzwa kubva pa0 kusvika ku100
2. KTO inofemerwa neboka ripi rebasa?
   • Einstein's relativity
   • Kahneman naTversky's tarisiro theory
   • Kushanduka kwaDarwin
   • Shannon's information theory
3. Chii chinonzi 'loss aversion' sekushandiswa muKTO?
   • Kudzivisa chero kurasikirwa basa zvachose
   • Kuramba kudzidzisa pamusoro pekurasikirwa
   • Kuranga zvisingadiwe zvinobuda zvakanyanya kupfuura kupa mubairo zvinodikanwa
   • Kuita kuti chiyero chekudzidza chive chisina kunaka
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. MuKTO, kutsauka kunoyerwa zvichienderana nei?
   • A reference point kana baseline mubairo level
   • Huwandu hwema parameters
   • Iyo tembiricha yeGPU
   • Saizi yemazwi
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