Guide-yakabatana mibvunzo · Pakati Nhanho

Mibvunzo Inopindura Mubvunzo

Ongorora yekuwedzera uye generative QA, humbowo hwekunze, kudzoreredza kudzika, mhinduro miganhu, kuregera, kupindirana kwekuongorora, uye bvunzo dzezvirevo.

Nzira dzekutungamira dzinoenderanaMubvunzo Kupindura
Mubvunzo 1 ye 8

Chii chinoita chirongwa chekupindura mibvunzo yekuwedzera?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinoita chirongwa chekupindura mibvunzo yekuwedzera?
    • Inosarudza kureba chaiko kwemavara mundima inopindura mubvunzo
    • Inonyora mhinduro itsva nemazwi ayo
    • Inoturikira mubvunzo kune mumwe mutauro
    • Inoisa mapeji ewebhu nemukurumbira
  2. What evidence-access distinction separates closed-book QA from an open-book QA setting?
    • Open-book systems are forbidden to read documents
    • Closed-book systems must always be more accurate
    • Closed-book uses model parameters without external lookup; open-book can use supplied or retrieved documents
    • Open-book systems cannot include a language model
  3. How can retrieval-augmented generation support a QA answer?
    • By guaranteeing every retrieved passage is correct
    • By eliminating the need to interpret any passage
    • By automatically proving every output claim true
    • By providing retrieved passages as evidence for generation
  4. Which boundary scores can an extractive QA head produce when selecting an answer span?
    • Only a translation score for French output
    • Scores for possible answer-start and answer-end positions
    • Only a grammatical noun-or-verb label
    • Only the alphabetical rank of each word
  5. Chii chiratidzo cheyakanyatsogadzirwa QA system kana ndima yacho isina mhinduro?
    • Inogadzira mhinduro inonzwika-inonzwika zvakadaro
    • Inodzosera ndima yese
    • Inoziva kuti mubvunzo haupindurwe uye inodaro
    • Inobondera
  6. How does generative QA differ from requiring an extractive source span?
    • It produces answer text rather than requiring an exact span from the passage
    • It is restricted to one yes-or-no label in every task
    • It never outputs any words present in a source
    • It must output only a highlighted passage boundary
  7. In SQuAD-style QA evaluation, what can token-overlap F1 provide that exact match alone does not?
    • Proof that every claimed fact is true
    • Partial credit for answer words overlapping a reference
    • A guarantee that no answer was copied
    • The measured power usage of a server
  8. Why evaluate a QA system on paraphrased questions that preserve the intended meaning?
    • To guarantee that every new paraphrase has a different answer
    • To remove all passage evidence from every evaluation
    • To replace answer quality with filename length
    • To test sensitivity to changes in question wording