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A team is adapting a large, pre-trained language model for a specialized task: summarizing legal documents. They choose an adaptation strategy that involves re-training on the legal dataset and allowing every single parameter within the original model to be updated during this process. Which statement best analyzes a direct consequence of this specific approach?
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
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Analysis in Bloom's Taxonomy
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Computational Cost of Standard Fine-Tuning
A team is adapting a large, pre-trained language model for a specialized task: summarizing legal documents. They choose an adaptation strategy that involves re-training on the legal dataset and allowing every single parameter within the original model to be updated during this process. Which statement best analyzes a direct consequence of this specific approach?
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Motivation for Parameter-Efficient Fine-Tuning
Analyzing a Model Adaptation Strategy