A team is developing a specialized chatbot to answer questions about a company's internal financial policies. They begin with a small, high-quality 'seed' dataset of 150 question-answer pairs written by their finance experts. To expand this dataset, they use the seed examples to prompt a large base model to generate 15,000 new, similar question-answer pairs. This new, larger dataset is then used to fine-tune the chatbot. Which of the following describes the most significant potential weakness of the final chatbot?
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
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A team is developing a specialized chatbot to answer questions about a company's internal financial policies. They begin with a small, high-quality 'seed' dataset of 150 question-answer pairs written by their finance experts. To expand this dataset, they use the seed examples to prompt a large base model to generate 15,000 new, similar question-answer pairs. This new, larger dataset is then used to fine-tune the chatbot. Which of the following describes the most significant potential weakness of the final chatbot?
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