Topics PracticeChallenges Pricing

Zenaique

Personalized AI interview prep. Structured questions across every GenAI sub-discipline. Practice, score, master.

Practice

Topics
Daily practice
Challenges
Dashboard

Browse

Formats
Roles
Companies
Top questions

Product

Pricing
Sign in

© 2026 Zenaique

Topics/Embeddings

Embeddings

6 questions

Vector representations of meaning. How embedding models are trained, similarity metrics, dimensionality, and choosing the right model for retrieval.

Sort

Questions

Pick the 2026 task where an encoder-only transformer still beats a decoder-only LLM
Multiple ChoiceEasy·Qual 4.0
Pick the most accurate one-sentence summary of the tokenizer's role in fine-tuning.
Multiple ChoiceEasy·Qual 4.0
Flashcard: what is an embedding in a RAG pipeline, and what role does it play?
FlashcardEasy·Qual 4.0
Match each embedding-model selection scenario to the model attribute or check that most determines the right choice.
Match PairsMedium·Qual 4.0
Why is cosine similarity preferred over Euclidean distance for text embeddings?
FlashcardEasy·Qual 4.4CohereOpenAI
What is the primary purpose of embeddings in modern NLP?
Multiple ChoiceEasy·Qual 4.3

Master this topic

Daily practice mixes topics. Topic specific drill is a Pro feature.