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 Data Scientist Interview Questions-CHUBB

By Siva

Published On:

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1. Explain any one of the Generative AI projects you’ve worked on and its end-to-end architecture.

2. What are static methods in Python?

3. Explain the RAG (Retrieval-Augmented Generation) architecture and suggest improvements for the data ingestion and retrieval phases.

4. Explain the transformer architecture.

5. What is cross-attention?

6. Why do we use cosine similarity, and why not sine, tangent, or other trigonometric functions?

7. Explain A/B testing.

8. Write a function that returns the indices of two numbers whose sum equals a given target, with optimized time complexity.

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