Chain-of-Thought Prompting
Chain-of-Thought (CoT) prompting is a technique used to guide a large language model to detail its reasoning process before providing a final answer. This is often achieved by including a simple instruction like 'Let’s think step by step' in the prompt. By verbalizing its thought process, the model can break down complex problems into smaller, manageable parts, which often improves the accuracy and reliability of its conclusions.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Chain-of-Thought Prompting
A language model is provided with the following text: 'The old bookstore was a labyrinth of towering shelves and narrow aisles. The air smelled of aging paper and leather bindings. In the quietest corner, a single book lay open on a dusty table.' Which of the following model outputs best demonstrates the task of extending the given text in a coherent manner?
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Chain-of-Thought Prompting
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{"name": "Alex",and wants the model to finish it, for example, as"id": 123}. Which of the following prompts is most effectively structured to guide the model toward this specific kind of completion?Debugging a Sequence Completion Prompt
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