Quiz ngir dugal mbind

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

1. What does a text embedding supply for a language comparison task?
   • A required spoken audio recording
   • A verbatim dictionary entry for every coordinate
   • A numerical vector representation of text
   • Only a grammar-repair instruction
2. In a representation trained to capture synonym similarity, what relationship is desirable for happy and joyful?
   • A relatively high similarity under the chosen scoring method
   • A mandatory identical vector for every word
   • A guarantee they are synonyms in every possible context
   • A requirement that neither word can be encoded
3. Lan moo nekkoon ay jafe-jafe yu mag ci jëfandikoo kàddu yu njëkk yu melni Word2Vec ak GloVe?
   • Mënu ñu ko denc ci ordinatër
   • Nataal kese lañu liggéey
   • Soxla wuñu benn done tàggat
   • Baatu bu nekk amna benn vecteur buñ tëral ak lu muy tekki, kon 'bànk' dafay tekki benn mbir fépp
4. Ak naka lay deme bay gëna xéewale ci samp gi ci baat bu fippu?
   • Dañuy dindi nimero yépp ci représentation bi
   • Dañuy jox baat bi vecteur bu wuute ci frase bi ko wër
   • Dañuy dugal arafu njëkk ci baat bu nekk
   • Dañuy tax vecteur bu baat bu nekk nuróo
5. Which documented default similarity method does Sentence Transformers use for embedding comparison?
   • Nuru cosinus
   • Alphabetical order
   • Document creation date
   • Character count alone
6. What role can compatible text vectors play in a dense-retrieval RAG pipeline?
   • Guaranteeing every generated claim is correct
   • Eliminating the source corpus
   • Ranking candidate passages before they are supplied as context
   • Training a new language model on every query
7. Which pooling strategy is the stated default in the original Sentence-BERT paper?
   • A mandatory maximum over every possible vocabulary item
   • Mean pooling of output token vectors
   • Concatenation of all corpus documents
   • Randomly selecting an unchanged input byte
8. Which Sentence-BERT design allows stored sentences to be encoded before a new comparison sentence arrives?
   • Mandatory joint processing of every possible pair
   • Rebuilding encoder weights for each candidate
   • Encoding only the final comparison score
   • Independent sentence encoding through its siamese architecture