HyDE Document Hypothétique

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

1. Lan la HyDE di defar balaa muy amal retrieval?
   • Laajte SQL
   • Limu sinonim yi kese
   • Nataalu laaj bi buñ komprime
   • Këyitu xalaat buy tontu laaj bi
2. What is the intended role of the encoder bottleneck when HyDE's hypothetical document contains invented details?
   • Retain useful retrieval patterns while reducing some irrelevant specifics, without guaranteeing error removal
   • Prove every generated sentence is factually correct
   • Manually repair every fabricated claim before encoding
   • Make fabricated details incapable of influencing any search result
3. Benn ci njariñ yi gëna mag ci HyDE mooy limuy dox:
   • Ak ay milioŋ ci misaal yiñ etikete
   • Ci mbindu angale kese
   • Zero-shot, amul done yuñ etiketee
   • Seetug nataal kese
4. Ban xeetu modelu embedding lañu jëfandikoo ci HyDE bi njëkk ngir encoder këyitu hypothétique bi?
   • Klasifikatëru laaj buñ saytu
   • Encodeur buy wuutale te kenn duko saytu lu melni Contriever
   • Extracteur de baatu-caabi bu sukkandiko ci sàrt
   • ab reso nataal buy jaxasoo
5. Ban jafe-jafe bu mag ci retrieval dense la HyDE nara saafara?
   • Laajte yu gàtt ak tontu yu gëna gudd dañuy faral di toog ci gox yu wuute ci barab buñ samp
   • Këyit dafa gàtt lool ngir index
   • Index yiñ soppi dañu yeex lool
   • Mënu denc mbir yuñ samp ci disk bi
6. How can a HyDE variant combine several generated hypothetical documents into one search representation?
   • Declare all generated claims to be verified facts
   • Delete the encoder and search only by file size
   • Require every generated document to be a real corpus passage
   • Average their encoded vectors before searching the real corpus
7. Which text should support a factual answer after HyDE retrieval?
   • The generated hypothetical document because generation verifies it
   • Relevant real source passages that have been checked, rather than the hypothetical document alone
   • Only the nearest vector's numeric coordinates
   • Any invented detail repeated by several generated samples
8. What extra retrieval cost can HyDE introduce compared with directly embedding a user's query?
   • Mandatory relevance-label collection for every query
   • A requirement to retrain Contriever for each search
   • The latency and computation of generating one or more hypothetical documents
   • Elimination of all encoder and index computation