Unverified50% confidenceOpinionExact time
The ability to switch inference intensity on demand can improve users' effective working time by 30%–50% compared to a one-size-fits-all mode.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/8/2026
First Seen
Valid until: 11/6/2026
Sources
Related Claims
UnverifiedResearch shows that, for the same task, an optimized prompt can improve model output quality by 30%–50% compared to arbitrary input.79% similarUnverifiedResearch shows that high-quality prompts can bring a 20%–40% improvement in task completion rates compared to casually written prompts under the same model conditions.76% similarUnverifiedResearch indicates that high-quality prompts can improve model output accuracy by 30%–50%.74% similarUnverifiedIn enterprise knowledge base scenarios, using semantic chunking strategies typically yields recall accuracy more than 15% higher than fixed-length chunking, and introducing a Reranker re-ranking model can further improve accuracy by 10–30%74% similarUnverified精心设计的System Prompt可以将模型的有效输出率提升30%-50%，同时减少幻觉和偏离主题的概率72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/709237API
curl https://kongchang.com/api/v1/knowledge/claims/709237MCP
get_claim(id=709237)