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Analyzing a Flawed Workflow
An engineer describes a system for improving text classification. The workflow involves creating three distinct prompts for the same task. Each prompt is then sent to a separate, independently trained language model. Finally, the three outputs are combined to produce a single, final classification. Based on the standard visual representation of the process for using multiple prompts with a single model, identify the primary error in the engineer's proposed workflow and explain why it is incorrect.
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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
Psychology
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Empirical Science
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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