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A machine learning engineer is preparing a dataset to fine-tune a language model for a question-answering task. Review the following data samples. What is the most critical structural issue in this dataset that would likely lead to the model learning unhelpful or incorrect patterns?
- Q: "What is the capital of France?" A: "The capital is Paris."
- Q: "Who wrote Hamlet?" A: "The author is Shakespeare."
- Q: "What is the boiling point of water?" A: "The temperature is 100°C."
- Q: "When did the first moon landing occur?" A: "The date is 1969."
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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
Science
Related
A machine learning engineer is preparing a dataset to fine-tune a language model for a question-answering task. Review the following data samples. What is the most critical structural issue in this dataset that would likely lead to the model learning unhelpful or incorrect patterns?
- Q: "What is the capital of France?" A: "The capital is Paris."
- Q: "Who wrote Hamlet?" A: "The author is Shakespeare."
- Q: "What is the boiling point of water?" A: "The temperature is 100°C."
- Q: "When did the first moon landing occur?" A: "The date is 1969."
Formulating a Training Answer
A data scientist is creating a training example for a question-answering model based on the factual statement: 'The Eiffel Tower, located in Paris, France, was completed in 1889.' Which of the following question-answer pairs represents the most effective and direct format for training the model?