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A company develops a question-answering system that uses a large language model to answer queries based on a private document collection. They observe that when a user asks a question for which no relevant documents are retrieved, the system often generates a plausible-sounding but factually incorrect answer. Which of the following training approaches is specifically designed to mitigate this problem?
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
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Improving AI System Reliability
A company develops a question-answering system that uses a large language model to answer queries based on a private document collection. They observe that when a user asks a question for which no relevant documents are retrieved, the system often generates a plausible-sounding but factually incorrect answer. Which of the following training approaches is specifically designed to mitigate this problem?
Designing a Training Dataset for a Reliable Q&A System