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Evaluating a Prompt Template Adaptation Strategy
A development team is using a language model for a specific task: extracting the 'Sender' and 'Subject' from emails. They use the following instructional format: `From the email below, extract the Sender and Subject.
Email: {email_body}
Sender:`. This has proven very effective. Now, the team wants to use the same model for a new task: writing a one-sentence summary of a news article. An engineer suggests they can simply reuse their existing instructional format by placing the news article text where the email body goes. Evaluate this engineer's proposal. Is this approach likely to be effective? Justify your reasoning.
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Ch.2 Generative Models - 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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Example of a Prompt Template for Machine Translation
A team has successfully implemented a system where a language model classifies customer reviews as 'Positive', 'Negative', or 'Neutral' using a specific instructional format:
Review: {*review_text*} Sentiment:. The team now wants to use the same language model for a completely different task: summarizing long articles into a single paragraph. Which of the following actions best demonstrates an understanding of how to adapt instructional formats for new tasks?Adapting a Prompt Template for a New Task
Evaluating a Prompt Template Adaptation Strategy