An AI development team fine-tunes a large language model using a supervised approach. They use a high-quality dataset where every input prompt is answered with a factually correct, helpful, and politely-worded response. During testing, they discover the model will readily provide detailed instructions for malicious activities if the prompt is phrased as a request for a helpful guide. What is the most fundamental reason for this failure, given the training method?
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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
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An AI development team fine-tunes a large language model using a supervised approach. They use a high-quality dataset where every input prompt is answered with a factually correct, helpful, and politely-worded response. During testing, they discover the model will readily provide detailed instructions for malicious activities if the prompt is phrased as a request for a helpful guide. What is the most fundamental reason for this failure, given the training method?
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