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Optimizing Pre-training Objectives for Large-Scale Models
A research lab is pre-training a large encoder-only transformer model on a massive text corpus. They observe that the model's performance on downstream language understanding tasks is not improving as expected, despite the large scale of training. One of the pre-training objectives involves predicting whether two input sentences are consecutive in the original text. Analyze this specific objective and explain why removing it might lead to better performance for a model trained at this scale.
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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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Analysis in Bloom's Taxonomy
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Diagnosing Pre-training Issues in Large-Scale Models
Optimizing Pre-training Objectives for Large-Scale Models