When automatically optimizing a prompt, the main challenge associated with the demonstrations (examples) is the difficulty of generating high-quality candidates, whereas the main challenge for the instructions is the difficulty of sampling the best ones from a large generated pool.
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
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Empirical Science
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When designing prompts for a large language model, why is the process of optimizing the instructions generally considered a more significant computational challenge than optimizing the demonstrations (examples)?
Prompt Optimization Strategy Selection
When automatically optimizing a prompt, the main challenge associated with the demonstrations (examples) is the difficulty of generating high-quality candidates, whereas the main challenge for the instructions is the difficulty of sampling the best ones from a large generated pool.