A development team is adapting a single pre-trained language model to handle two new, distinct functions. The first function is to classify customer feedback emails into one of three categories: 'Positive', 'Negative', or 'Neutral'. The second function is to generate a formal, two-paragraph apology letter in response to a customer complaint, adhering to a specific company tone and style. The team is preparing the training data and must decide how to format the textual instructions for the model.
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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
Ch.1 Pre-training - Foundations of Large Language Models
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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A development team is adapting a single pre-trained language model to handle two new, distinct functions. The first function is to classify customer feedback emails into one of three categories: 'Positive', 'Negative', or 'Neutral'. The second function is to generate a formal, two-paragraph apology letter in response to a customer complaint, adhering to a specific company tone and style. The team is preparing the training data and must decide how to format the textual instructions for the model.
Diagnosing Fine-Tuning Issues with Instruction Formatting
Comparing Instruction Formatting Strategies in Model Fine-Tuning