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How Much Prompt Is Enough? A Blackbox Minimization of Few-Shots in LLMs
Prompts are the primary mechanism for directing the behavior of large language models (LLMs). Yet the internal structure and causal hierarchy of prompts remain poorly understood: which parts are causally necessary and which are redundant is an open question. This opacity can have severe consequences
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