Unverified50% confidenceOpinionExact time
Prompt engineering guides model output by carefully constructing input text, with all its control signals concentrated in the natural language channel, making it difficult to precisely express structured intent, and each interaction requires re-describing, with high debugging cost and unstable results.
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50%
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Long-term
Relevance
10/21/2026
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Related Claims
UnverifiedLarge language models are highly sensitive to the wording, format, number of examples and even punctuation of prompts, and different phrasings of the same task may produce significant score fluctuations.79% similarUnverified大语言模型的自然倾向是生成流畅文本,而Agent工作流需要严格、可预测、机器可读的结构化输出,两者存在冲突79% similarUnverified冗长的系统提示通常意味着开发者用大量文字教模型该怎么做,是把工程问题转嫁给提示词的做法77% similarUnverifiedSystem prompt-based solutions are essentially natural language conventions and can easily be bypassed by jailbreak attacks, prompt injection, or unintended model behavior.76% similarVerifiedThe root cause of Prompt Injection is that large models cannot structurally distinguish between "system instructions" and "user data," as both are presented as natural language text at input time.76% similar
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