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A team wants to improve the robustness of its text summarization system. Their strategy involves creating several different instructions (e.g., 'Summarize the key points,' 'Provide a one-paragraph summary,' 'Extract the main conclusion') for the same input text. They plan to run each instruction through their single, fine-tuned language model and then use a method to combine the resulting summaries into a single, higher-quality final summary. Which of the following descriptions accurately represents the workflow for this strategy?
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
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A team wants to improve the robustness of its text summarization system. Their strategy involves creating several different instructions (e.g., 'Summarize the key points,' 'Provide a one-paragraph summary,' 'Extract the main conclusion') for the same input text. They plan to run each instruction through their single, fine-tuned language model and then use a method to combine the resulting summaries into a single, higher-quality final summary. Which of the following descriptions accurately represents the workflow for this strategy?
A technique is used to improve the reliability of a language model's output by using several different instructions for the same task and combining the results. Arrange the following steps to accurately represent the workflow of this technique.
Combining Predictions from Diverse Prompts
Analyzing a Flawed Workflow