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A developer is building a customer support chatbot that must answer questions using only the information from the company's official 'Return Policy' document to avoid providing inaccurate or outdated advice. Which of the following prompt strategies is the most effective for constraining the model's output to the provided text?
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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
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Prompt Example for Synthesizing Answers from Provided Context
Restricting LLM Answers to Provided Text
Prompting LLMs with Retrieved Texts in RAG
A developer provides a language model with a specific piece of information:
Context: 'The fictional city of Aeridor was founded in the year 982 by Queen Elara.'The developer then asks the model:Question: 'When was Aeridor founded?'The model, however, responds with:Answer: 'Aeridor was founded in the 12th century.'Which of the following statements best analyzes the most likely reason for the model's incorrect response, despite being given the correct information?Internal Knowledge Base Chatbot Design
A developer is building a customer support chatbot that must answer questions using only the information from the company's official 'Return Policy' document to avoid providing inaccurate or outdated advice. Which of the following prompt strategies is the most effective for constraining the model's output to the provided text?