Quiz decodage buy méngoo ak sa bopp

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

1. How does self-consistency decoding pick a final answer from a language model?
   • Xoolaatal yooni xalaat yu bari te nga jël wote bu ëpp ci tontu bi
   • Tannal saa yu nekk token bi gëna am wërsëg ci jéego bu nekk
   • Taggat model bi ci ay sorti boppam lu bari yoon
   • Dindil bépp njuumte ci jamono
2. Under what condition can self-consistency improve answer accuracy?
   • Whenever the number of samples increases
   • When correct sampled paths converge and errors are not too strongly correlated
   • When every reasoning chain has identical wording
   • Only when the model weights are retrained
3. Ban xeetu dekodaas mooy wecci lëkkaloo sa bopp?
   • Tasaaro ci ginaaw
   • Tokenisasioŋ
   • Decodage greedy bu benn chaîne
   • Diisaay bi
4. Ban wàll ci bu nekk ci seen misaal lañuy jëfandikoo ci wote bu mujj bi?
   • Tekstu xalaat bi yépp
   • Limu jeton yiñ defar
   • Reglage tamperatiir bi
   • Tontu bu mujj bi kese
5. What is the main cost of increasing the number of self-consistency samples?
   • More inference compute; accuracy gains depend on the task and can have diminishing returns
   • It retrains the model weights after every response
   • It guarantees that the majority is correct
   • It eliminates the need to sample any reasoning paths
6. Konsistans sa bopp mooy misaal bi njëkk ci ban konsept bu gëna yaatu?
   • Modèlu kompresioŋ
   • Inference-temps scaling (def xaalis bu gëna bari ngir xalaat bu baax)
   • Yokkateg done ci diiru tàggat yaram
   • Gaawaayu aparey
7. Why may answer normalization be useful before a self-consistency vote?
   • It makes all reasoning paths independent
   • It verifies the answer against external evidence
   • It can group semantically equivalent answers that use different formatting
   • It changes the model’s sampled probabilities
8. What is a key limitation of a majority answer from self-consistency?
   • A majority vote cannot be computed for text
   • Sampling always changes the model weights
   • Every reasoning path is guaranteed independent
   • Correlated reasoning errors can make an incorrect answer win the vote