Unverified50% confidenceSolutionExact time
Implementations of structured output generally fall into two categories: dynamically filtering tokens via grammar constraints during the inference phase, and guiding output through prompt engineering followed by parsing and validation.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
Unverified语义缓存通过向量嵌入判断两个查询是否表达相近意图,从而实现跨措辞的缓存命中71% similarUnverifiedStructured output applies constraints to the model's token sampling via constrained decoding, typically based on finite-state automata (FSA) or context-free grammars (CFG).71% similarUnverifiedTool calls should use strongly constrained structured output formats (such as function calls) rather than relying on natural language to express intent, which can greatly reduce reasoning idle spinning.70% similarUnverified结构化的提示词相比纯文本段落,能让模型更精确地识别不同指令模块的边界,减少指令混淆69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/971734API
curl https://kongchang.com/api/v1/knowledge/claims/971734MCP
get_claim(id=971734)