Unverified50% confidenceOpinionExact time
Explicitly adding negative constraints in the prompt (such as prohibiting fabricated data, reviews, or unimplemented features) can effectively compress the model's room for free improvisation and reduce the cleanup workload before release.
1
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50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
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Related Claims
Unverified在代码生成Prompt中，否定性约束（说明不需要什么）能缩小模型搜索空间，比增加期望描述更能提高准确率75% similarUnverifiedModel pruning can remove redundant parameters to reduce VRAM usage and computational load.74% similarUnverifiedA model's context window has a token limit, and anything beyond it is rejected or billed extra; in engineering, splitting, truncation, or summary compression are commonly used to control length.74% similarUnverifiedService providers often truncate or compress input in actual deployments to control costs, potentially setting an actual context window lower than the model's theoretical upper limit.74% similarUnverifiedSuperposition itself does not equal information chaos; it is more like an efficient compression strategy under capacity constraints, provided that the interference between feature directions is sufficiently small.73% similar
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