AI Hallucinations Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Why does next-token prediction alone fail to verify a factual claim in a generated answer?
   • Every model is connected to only unreliable websites
   • All users ask grammatically incorrect questions
   • A plausible continuation is not the same as evidence that the statement is true
   • A fluent answer automatically proves the fact
2. Nei kuona zvisingaoneki kune ngozi zvikuru?
   • Anogara akanyorwa negirama yakatyoka saka vashandisi havaateerere
   • Dzinongooneka mumashoko ekukanganisa
   • Vanoita kuti modhi iparare
   • Izvo zvinounzwa zvakanaka uye zvine chivimbo, saka zvikanganiso zviri nyore kupotsa
3. Ko kudzoreredza-yakawedzerwa chizvarwa (RAG) inobvisa zvachose kufungidzira?
   • Ehe, RAG inovimbisa mhinduro dzechokwadi
   • Kwete, mamodheru anogona kuramba achipokana kana kufuratira zvinyorwa zvine ruzha kana kupokana
   • Hongu, asi pakupera kwevhiki chete
   • Kwete, nekuti RAG haimbopa chero magwaro
4. Ndeupi muenzaniso chaiwo wekuona zvisipo?
   • Muenzaniso unoreva nyaya yedare iyo isipo
   • Mutevedzeri achiramba kupindura mubvunzo
   • Mutevedzeri achibvunza mubvunzo unojekesa
   • Iyo modhi inodzosera mhinduro isina chinhu
5. Which workflow can help check a generated factual answer?
   • Trust every citation because it looks formal
   • Treat a low sampling temperature as proof of correctness
   • Hide the evidence so the answer is easier to read
   • Retrieve relevant material and verify whether its statements and citations support the claims
6. How should a claim that a new model has eliminated hallucinations be assessed?
   • Accept it solely because the announcement sounds confident
   • Assume one successful example proves every application
   • Use defined tasks, evidence, and measurement conditions rather than assume universal reliability
   • Judge only whether the model produces polished prose
7. A generated answer cites a real page, but the page does not support the associated factual statement. What remains unverified?
   • The support for that particular claim
   • Whether a URL can be opened
   • Whether the model used fluent sentences
   • Whether the citation contains text
8. A supplied document says delivery takes five business days, but its generated summary says two. Which check reveals the error?
   • Counting how many sentences the summary contains
   • Comparing the summary's quantity with the source document
   • Checking only whether the prose sounds confident
   • Assuming summaries may replace any source number