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Constructing an SFT Data Sample for Email Classification
You are creating a dataset to fine-tune a language model for email classification. Your task is to create one complete data sample. Given the email text below, formulate the three necessary components for a single supervised fine-tuning (SFT) data sample: 1) a clear instruction, 2) the input context (the email itself), and 3) the desired model output.
Email Text: 'Congratulations! You've won a free cruise to the Bahamas! Click here to claim your prize now! This is a limited-time offer, so act fast!'
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Creation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A machine learning engineer is preparing data to teach a language model how to summarize news articles. Which of the following examples represents a single, well-formed data sample that correctly combines an instruction, context, and a desired response for this task?
Evaluating SFT Data Sample Quality
Constructing an SFT Data Sample for Email Classification