Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kahneman-Tversky Kediska Hagaajinta

Waxay hubisaa KTO's rabitaanka ra'yi-celinta laba-geesoodka ah, dhiirigelinta rajada-aragtida, abaal-marinnada-tixraaca, iyo xaddididda goobaha.

Wadooyinka haga ee la xidhiidhaKahneman Tversky Optimization
Su'aal 1 ee 8

Xog noocee ah ayuu KTO u baahan yahay?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Xog noocee ah ayuu KTO u baahan yahay?
    • Calaamadaha binary-ga ee la rabo/loo baahan yahay ee ku saabsan wax soo saarka shaqsiga
    • Lammaanaha la doortay iyo jawaabaha la diiday
    • Kaliya qoraal aan sumad lahayn
    • Abaalmarinta nambarada laga bilaabo 0 ilaa 100
  2. KTO waa kuwee shaqada shaqada?
    • Einstein dib u eegistiisa
    • Kahneman iyo aragtida mustaqbalka ee Tversky
    • Kobcinta Darwin
    • Aragtida macluumaadka Shannon
  3. Waa maxay 'nacaybka khasaare' sida loogu isticmaalo KTO?
    • Ka fogaanshaha wax kasta oo khasaare ah oo shaqeynaya gabi ahaanba
    • Diidmada in lagu tababaro khasaaraha
    • Ciqaabta wax-soo-saarka aan loo baahnayn in ka badan si ka adag kuwa la doonayo in la abaalmariyo
    • Ka dhigista heerka waxbarashada mid xun
  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. Gudaha KTO, weecsanaanta ayaa lagu cabbiraa marka loo eego waa maxay?
    • Meesha tixraaca ama heerka abaalmarinta gundhigga
    • Tirada guud ee halbeegyada
    • Heerkulka GPU
    • Cabbirka ereyada
  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