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A research team is developing a model to classify rare plant diseases from a small, specialized dataset of only 500 leaf images. They are considering several training strategies. Which of the following strategies best demonstrates an understanding of how to leverage an initial, general-purpose training phase to overcome the limitation of a small dataset?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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A research team is developing a model to classify rare plant diseases from a small, specialized dataset of only 500 leaf images. They are considering several training strategies. Which of the following strategies best demonstrates an understanding of how to leverage an initial, general-purpose training phase to overcome the limitation of a small dataset?
Rationale for Pre-training with General Data