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  • Enabling Zero-Shot Generalization through Instruction Fine-Tuning

Sequence Ordering

A large language model develops the ability to perform tasks it has never been explicitly trained on. Arrange the following stages in the correct chronological and causal order that leads to this outcome.

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Updated 2025-10-10

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Gemini AI
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Ch.2 Generative Models - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

Comprehension in Revised Bloom's Taxonomy

Cognitive Psychology

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  • A large language model undergoes two stages of training. First, it is pre-trained on a vast dataset of internet text. Second, it is fine-tuned on a highly diverse dataset containing thousands of varied instructions and their corresponding correct outputs (e.g., 'Summarize this text...', 'Translate this sentence...', 'Write a poem about...'). The model is then given a completely novel task it has never seen before: 'Convert the following recipe from imperial to metric units.' Which statement best analyzes the likely outcome?

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  • A large language model develops the ability to perform tasks it has never been explicitly trained on. Arrange the following stages in the correct chronological and causal order that leads to this outcome.

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