Improving Long-Document Analysis
Based on the scenario, describe a more effective second step the engineer could take. Instead of just processing each segment independently, what kind of single, final prompt could they use to synthesize the individual segment results into a more nuanced and reliable determination for the entire manual?
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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
Social Science
Empirical Science
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Example Prompt for Synthesizing Segment Analysis
Improving Long-Document Analysis
An AI system is tasked with determining if a very long legal document mentions 'data privacy regulations'. The system first breaks the document into 100 smaller segments. For each segment, it then generates a simple 'yes' or 'no' answer indicating if that specific segment discusses the topic. Now, a final step is needed to produce a single, overall conclusion for the entire document. Which of the following instructions would be the most effective and efficient for this final step?
An AI system needs to determine the overall sentiment of a very long customer feedback document. To do this efficiently, it processes the document in parts. Arrange the following steps in the correct logical sequence to accomplish this task.