Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Jeedinta iyo Kediska Kooxda Casaanka ah

Dib u eeg jebinta xabsiga, weerarrada muddada-dheer, baaritaanka kooxda-cas iyo sababta ay tahay in qiimeynta badbaadada ay ku jirto dardaaranno iska soo horjeeda. ficil ahaan.

Wadooyinka haga ee la xidhiidhaJebinta Iyo Kooxda Cas
Su'aal 1 ee 8

Waa maxay yoolka koowaad ee degdega jebinta?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay yoolka koowaad ee degdega jebinta?
    • Si aad u hesho moodalku inuu dhaafo xeerarkiisa badbaadada
    • Si loo dedejiyo wakhtiga jawaabta moodeelka
    • Si aad qoraalka ugu tarjunto luqad kale
    • Si loo yareeyo kharashka socodsiinta moodeelka
  2. How does NIST define red teaming in the AI context?
    • Training a model to imitate a specific person
    • Structured adversarial testing to find flaws, vulnerabilities or unexpected system behaviors
    • A way to increase context length
    • A method for compressing neural-network weights
  3. Maxay tahay sababta xabsiyada toogashada badan u shaqeeyaan si ka sii wanaagsan marka daaqadaha macnaha guud sii dheeraado?
    • Dalabyada dhaadheer ayaa ka raqiisan habsocodka
    • Macnaha dheer ayaa si otomaatig ah u curyaamiya kala soocida badbaadada
    • Qaabka waxa lagu daadagi karaa tusaalooyin badan oo been abuur ah oo u hoggaansamaya dabeecadiisa
    • Qaabka ayaa iloobay tilmaamihiisii asalka ahaa 100 kelmadood ka dib
  4. What does a Constitutional Classifier defense add in the cited study?
    • A larger context window only
    • A database of human names
    • An automatic guarantee that all harmful outputs are impossible
    • Classifiers trained on synthetic examples from natural-language rules to screen harmful inputs or outputs
  5. What did the Many-shot Jailbreaking study demonstrate about safeguards?
    • In its tested settings, long-context demonstrations could elicit behavior that safety training aimed to prevent
    • Every model always complies with every harmful request
    • Safety classifiers eliminate every possible attack
    • The study only measured speech recognition accuracy
  6. What does the RedAgent paper automate in its red-team method?
    • The training of a new foundation model from scratch
    • Generation of context-aware jailbreak prompts using an autonomous language-agent system
    • The legal review of every generated answer
    • The deletion of all model safety policies
  7. What relationship did the Many-shot Jailbreaking study report between demonstration count and attack effectiveness?
    • It dropped to zero after one example
    • It was identical for every context size
    • Effectiveness followed a power law up to hundreds of demonstrations in tested settings
    • It depended only on image resolution
  8. What should a red-team report include to make findings interpretable?
    • Only one successful prompt without context
    • A claim that all models fail identically
    • The model’s hidden training data
    • The tested model and version, prompt conditions, evaluation scope and limitations