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A large language model is fine-tuned exclusively on a dataset containing 50,000 question-answer pairs about world history. After this training, the model will only be able to provide correct answers to those specific 50,000 questions and will fail on any new, unseen history questions.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
Comprehension in Revised Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A development team fine-tunes a general-purpose, pre-trained language model using a dataset of 1,000 specific question-and-answer pairs related to their new software product. The goal is to create a helpful product support chatbot. Which statement best predicts the model's capability after this fine-tuning process?
Choosing a Fine-Tuning Dataset for a Medical Chatbot
A large language model is fine-tuned exclusively on a dataset containing 50,000 question-answer pairs about world history. After this training, the model will only be able to provide correct answers to those specific 50,000 questions and will fail on any new, unseen history questions.