Unverified70% confidenceOpinionTime unknown
MCP+大模型的组合实现了'零代码绑定'的自然语言驱动测试,大模型理解自然语言意图后自主决定调用工具、执行顺序和异常处理
1
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe Skills paradigm uses the large language model itself to simultaneously perform intent understanding, slot filling, and parameter structuring, achieving zero-shot intent routing without requiring additional training data.74% similarUnverifiedStructured Thinking MCP improves output quality by forcing the model to complete problem decomposition, assumption verification, and step-by-step derivation.70% similarUnverified大语言模型在训练中吸收了大量技术文档与故障排查指南,形成了'症状—假设—验证'的推理模式,能根据上下文动态调整排查路径69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/22784API
curl https://kongchang.com/api/v1/knowledge/claims/22784MCP
get_claim(id=22784)