Diagnosing Unexpected Model Behavior
Based on the principles of adapting pre-trained models, what is the most likely reason for the bot's ability to perform these out-of-scope tasks? Explain your reasoning.
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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
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Using Diverse Data to Steer LLM Specialization
A development team adapts a large, pre-existing language model to function as a specialized chatbot for a legal information service. The adaptation process uses a dataset consisting solely of legal questions and their corresponding factual answers. After deployment, the team finds that the chatbot accurately answers legal queries but also responds correctly when users ask it to write poems or summarize news articles. Which statement provides the most accurate explanation for the chatbot's behavior?
Diagnosing Unexpected Model Behavior
Explaining Unintended Model Capabilities