Reduce LLM hallucination and handle class imbalance

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This question is commonly asked for Data Scientist candidates at Cvs during technical interviews.

Question

Reduce LLM hallucination and handle class imbalance

PracHub · Accepted Answer

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

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Reduce LLM hallucination and handle class imbalance

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