A development team fine-tunes a large, general-purpose language model to act as a specialized chatbot for a financial services company. The training data consists exclusively of question-answer pairs about stock trading, portfolio management, and market analysis. After fine-tuning, the team observes that while the model provides excellent, detailed answers to financial questions, it now struggles to answer simple, general knowledge questions (e.g., 'What is the tallest mountain in the world?') that it could easily answer before the process. Which of the following statements provides the most accurate evaluation of this outcome?

Mechanism of Knowledge Internalization via Fine-Tuning

Analyzing a Failed Fine-Tuning Strategy