A data scientist is building a model to sort customer support tickets. The model's only objective is to identify whether a ticket is 'Urgent' or 'Not Urgent' so that high-priority issues can be addressed first. Based on this specific requirement, which of the following represents the most appropriate set of labels for the model to use?
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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
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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A data scientist is building a model to sort customer support tickets. The model's only objective is to identify whether a ticket is 'Urgent' or 'Not Urgent' so that high-priority issues can be addressed first. Based on this specific requirement, which of the following represents the most appropriate set of labels for the model to use?
Defining a Label Set for News Categorization
A text classification model is trained to determine if a product review is favorable or unfavorable. The set of possible outputs for the model is defined as Y = {positive, negative}. It is possible for this model to classify a highly nuanced review with the label 'neutral'.