Kahneman-Tversky Iṣapeye adanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Iru data wo ni KTO nilo?
   • Awọn aami alakomeji ti o fẹ / aifẹ lori awọn abajade kọọkan
   • Awọn orisii ti o ni ipo ti awọn idahun ti a yan ati ti a kọ
   • Ọrọ ti ko ni aami nikan
   • Awọn ikun ẹsan nọmba lati 0 si 100
2. KTO ni atilẹyin nipasẹ eyi ti ara iṣẹ?
   • Ibasepo Einstein
   • Kahneman ati Tversky ká afojusọna yii
   • Darwin ká itankalẹ
   • Ilana alaye ti Shannon
3. Kini 'ikorira isonu' bi a ti lo ni KTO?
   • Yẹra fun iṣẹ pipadanu patapata
   • Kiko lati irin lori adanu
   • Ijiya awọn abajade aifẹ diẹ sii ni didasilẹ ju awọn ti o ni ẹsan lọ
   • Ṣiṣe oṣuwọn ẹkọ ni odi
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. Ni KTO, awọn iyapa jẹ iwọn ibatan si kini?
   • Ojuami itọkasi tabi ipele ere ipilẹ
   • Lapapọ nọmba ti sile
   • Iwọn otutu GPU
   • Awọn fokabulari iwọn
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