Reduce LLM hallucination and handle class imbalance

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Quick Overview

This question evaluates applied machine learning competencies including LLM safety and hallucination mitigation, retrieval-augmented generation and token-cost trade-offs, imbalanced classification handling, and precision-versus-recall decision-making within the Machine Learning domain for a Data Scientist role.

Reduce LLM hallucination and handle class imbalance

Company: CVS Health

Role: Data Scientist

Category: Machine Learning

Difficulty: easy

Interview Round: Technical Screen

Overview: This question evaluates applied machine learning competencies including LLM safety and hallucination mitigation, retrieval-augmented generation and token-cost trade-offs, imbalanced classification handling, and precision-versus-recall decision-making within the Machine Learning domain for a Data Scientist role.

Read the full CVS Health Data Scientist interview experience this question came from

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CVS Health
Oct 17, 2025
easyData ScientistTechnical ScreenMachine Learning
6
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