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Multiple Choice

A financial services company uses a large language model for an internal tool that summarizes complex regulatory documents for its legal team. The team reports that while the summaries are generally well-written, the model sometimes hallucinates non-existent clauses or misinterprets critical legal terms, posing a significant risk. To address this primary concern, which approach to improving the model should the company prioritize?

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Updated 2025-10-01

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Ch.5 Inference - Foundations of Large Language Models

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