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Multiple Choice
A language model's ability to generalize to new tasks is evaluated using a set of 5 new instruction-input pairs. The model's performance on each pair is scored on a scale of 0 to 1, yielding the scores: [0.9, 0.8, 0.3, 0.2, 0.7]. According to the formal condition for inter-task generalization, which is defined as the average performance over the new set exceeding a threshold (ε), does this model demonstrate this capability if the threshold is set at ε = 0.6?
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Updated 2025-10-04
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Ch.4 Alignment - 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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