Case Study
Diagnosing Generalization Failure in a Legal AI
Based on the case study below, analyze the likely cause of the model's poor performance and explain which dimension of training data diversity is lacking.
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Updated 2025-10-02
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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
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An AI team is building a general-purpose chatbot. They train two different models on a large dataset of text summarization tasks.
- Model A is trained using 100,000 different articles, but every training example uses the exact same instruction: "Summarize the following text."
- Model B is trained using only 10,000 different articles, but the training examples use 1,000 varied instructions for summarization (e.g., "Give me the gist," "What are the key points?," "Provide a brief overv
Diagnosing Generalization Failure in a Legal AI
Diagnosing a Model's Generalization Failure