Kediska Ku-xidhka Qoraalka

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

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. Maxay ahayd xaddidaadda furaha ah ee ku-xidhka ereyada hore sida Word2Vec iyo GloVe?
   • Laguma kaydin karo kombuyuutar
   • Waxay kaliya u shaqeeyeen sawirro
   • Wax xog tababar ah uma baahna
   • Erey kastaa wuxuu lahaa hal-beeg toosan iyadoon loo eegin macnaha guud, markaa 'bangi' wuxuu ula jeedaa wax la mid ah meel kasta
4. Sidee ku-xidhka macnaha guud ee casriga ah ugu horumaraa ku-xidhka kelmado taagan?
   • Waxay ka saaraan dhammaan tirooyinka matalaadda
   • Waxay bixiyaan kelmad kala duwan oo ku xiran jumlada ku xeeran
   • Keliya waxay gundhigeen xarafka ugu horreeya eray kasta
   • Waxay ka dhigaan vector eray kasta isku mid
5. Which documented default similarity method does Sentence Transformers use for embedding comparison?
   • Isku ekaanshaha cosine
   • 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