Interview Q&A / AI & Generative AI
AI & Generative AI interview questions
LLMs, tokens, embeddings, RAG and prompt engineering, the questions every AI role now asks.
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- What are embeddings, and how is vector similarity used to compare text?
An embedding is a list of numbers that represents the meaning of a piece of text, so texts with similar meaning get vectors that point in similar directions. Similarity measures such as cosine similarity compare these vectors to find related text.
IntermediateIn-depth3 min read - What is the difference between token embeddings and sentence embeddings?
A token embedding is the vector for one token that goes into the model's layers. A sentence embedding is a single vector summarising a whole text, produced by an embedding model, and used for search, clustering and similarity.
IntermediateQuick answer1 min read