quiz bu lëkkale ak tegtal · Diggante Niveau
Nucleus ak Top-k
Xam naka top-k, top-p ak tàngoor di soppi sampling token, ak lu tax tànneefi dekodage di soppi doxalinu mbind miñ defar.
Laaj 1 de 8
naka la top-k sampling di tënk tànneefi token yi?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- naka la top-k sampling di tënk tànneefi token yi?
- Dafay denc k token yu gëna am wërsëg, ba noppi jël misaal ci ñoom
- Dafay tëye ay jeton ba probabilite cumulatif bi weesu k
- Saa yu nekk dafay tànn benn jeton bi gëna am wërsëg
- Dafay dindi k token yi gëna néew wërsëg
- Lan mooy 'nucleus' ci sampling nucleus (ci kaw-p)?
- Baatu k yi gëna bari luñu koy jëfandikoo ci done yiñ tàggat
- Set bi gëna ndaw ci jeton yi am probabilite yu tollu ci p
- Benn token bi gëna am wërsëg
- Bépp jeton bu am probabilite bu ëpp 50%
- Lan mooy njariñu top-p ci kaw top-k?
- Dafay gëna gaaw ci xayma
- Du musa defar ay génne yu bari
- Limu token yiñ tànn mingi méngoo ak wóolu model bi
- Dafay baña bayyi xel ci probabilite
- Lan la parametru tamperatiir bi di def balaa ñuy jël échantillon?
- Dafay tëral guddaay bi gëna mag
- Dafay tànn làkku génne gi
- Dafay xayma dayo vocabulaire bi
- Dafay soppi séddaleb probabilite ngir gëna ñaw wala gëna dalal
- What result did the nucleus-sampling paper report for its tested open-ended generation tasks?
- It improved diversity without sacrificing fluency and coherence in the reported comparisons
- It guaranteed factual correctness in every output
- It eliminated all sampling randomness
- It improved translation quality on every benchmark
- For a greedy decoding baseline with no token sampling, how should generation be configured?
- Disable sampling and use greedy decoding to select the highest-probability token at each step
- Use high temperature and a large nucleus threshold
- Randomize the temperature at every step
- Keep sampling enabled but increase top-p
- After top-k truncation removes tokens, what happens to the remaining sampling probabilities?
- They remain assigned their original total mass below one
- They are replaced with equal probabilities
- They are renormalized over the retained top-k tokens
- They are converted into beam-search scores
- What did Holtzman et al. report about likelihood-maximizing decoding for open-ended text?
- It always yields the most diverse human-like passages
- Dafay dindi soxla xeetu làkk
- It guarantees factual correctness
- It can produce bland and repetitive text despite strong likelihood scores