Embeddings Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. What is an embedding in the numerical representation sense used here?
   • A dictionary definition that must be stored verbatim
   • A required compression format for image files
   • A vector representing an item for a model or comparison task
   • An exact database row identifier only
2. What can closeness in a trained semantic embedding space indicate?
   • Similarity learned under that model’s objective
   • A guarantee that two statements are equally true
   • An identical byte sequence in every case
   • A universal relation independent of training
3. Ndeipi metric inowanzoshandiswa kuenzanisa embeddings maviri?
   • Saizi yefaira musiyano
   • Kurongeka kwearufabheti
   • Shoko kuverenga
   • Cosine kufanana
4. What tradeoff can an approximate embedding index such as HNSW introduce?
   • A guarantee of complete exact retrieval in every configuration
   • Faster search with possible missed exact nearest neighbors
   • A required change of every vector to a word definition
   • Automatic removal of all training-data bias
5. Muenzaniso wekare 'mambo - murume + mukadzi ≈ mambokadzi' unoratidzei nezvekunamirwa?
   • Vanogona kutora hukama kuburikidza nevector arithmetic
   • Vanochengeta tsanangudzo chaidzo dzemazwi
   • Vanongoshanda chete kumatemu ehumambo
   • Izvo hazvina maturo uye hazvina maturo
6. Ndeipi njodzi chaiyo kana uchishandisa embeddings?
   • Izvo hazvigone kuchengetwa mudhatabhesi
   • Vanongoshanda muchirungu chete
   • Ivo vanogona kugara nhaka uye kuratidza kusarura kuripo mune yavo data data
   • Vanoita kuti tsvakiridzo dzese dzienderane chete
7. Two unit-length embedding vectors have dot product 0.8. What is their squared Euclidean distance?
   • 0.2
   • 0.4
   • 0.8
   • 1.6
8. When does an inner-product score equal cosine similarity for two nonzero embedding vectors?
   • Whenever their dimensions are equal
   • Whenever they came from two unrelated model families
   • Only when their coordinates are all zero
   • When both vectors have been normalized to unit length