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AI Chatbot Alignment Strategy
An AI company is building a chatbot to provide empathetic and emotionally supportive conversations. The developers find it nearly impossible to write a single, universally "perfect" empathetic response for every situation, as the ideal response is highly subjective and context-dependent.
The team considers two training approaches. The first is to create a large dataset of pre-written "ideal" responses for the model to imitate. The second is to build a separate scoring model that learns from human annotators who simply choose the more empathetic response from pairs of examples, and then use this scorer to guide the main chatbot's learning.
Evaluate which of these two approaches is better suited for aligning the chatbot. Justify your reasoning by explaining the fundamental advantage of your chosen method for this specific task.
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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
Ch.5 Inference - Foundations of Large Language Models
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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