A company aims to create a fine-tuning dataset for a chatbot that specializes in medical advice. They use their most advanced, general-purpose language model to generate 100,000 question-and-answer pairs based on medical textbooks. Then, a team of doctors reviews every pair, correcting any errors and rewriting answers to ensure they are safe and accurate. Which statement best analyzes this data acquisition approach?
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Manual Data Generation for Instruction Fine-Tuning
Crowdsourcing Data for Fine-Tuning
Automatic Data Generation for Instruction Fine-Tuning
Data Acquisition Strategy for a New AI Application
A research lab is developing a new instruction-following model and is considering different ways to create its training data. Match each characteristic or goal below with the most appropriate data generation strategy.
A company aims to create a fine-tuning dataset for a chatbot that specializes in medical advice. They use their most advanced, general-purpose language model to generate 100,000 question-and-answer pairs based on medical textbooks. Then, a team of doctors reviews every pair, correcting any errors and rewriting answers to ensure they are safe and accurate. Which statement best analyzes this data acquisition approach?