A data science team needs to create a system that can perform several different information extraction tasks, such as identifying company names, extracting key dates, and listing product features from various documents. Which of the following prompt structures provides the most effective and reusable foundation for these different tasks?
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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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Example of a Task Description for Keyword Extraction
Example of a Task Description for Event Extraction
Example of a Task Description for Coreference and Anaphora Resolution
Consider the following instruction given to a language model: 'You will be provided with a text. Your task is to identify and list all the dates mentioned.' Which portion of this instruction constitutes the generic, reusable template that could be adapted for other information extraction goals?
Applying a Prompt Template for a New Task
A data science team needs to create a system that can perform several different information extraction tasks, such as identifying company names, extracting key dates, and listing product features from various documents. Which of the following prompt structures provides the most effective and reusable foundation for these different tasks?