Unverified70% confidenceSolutionExact time
The Chain-of-Thought prompting technique requires the model to list analytical reasoning before providing a conclusion, which can improve reasoning quality and enhance the auditability of outputs.
2
Sources
70%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
开源LLM股票分析系统：零成本自动运行的智能投资助手
Related Claims
Unverified锚定样本技术在评估提示词中加入已由人类专家标注明确分数的示例，覆盖评分量表各个档位，可帮助裁判模型准确理解评分标准74% similarUnverifiedWhen evaluating model capabilities, attention should be paid to specific evaluation methods and datasets, with vigilance against the one-sidedness of single metrics and emphasis on independent third-party verification.74% similarUnverifiedWhen using MCP/API/connectors in scenarios with extremely high requirements for reasoning quality, such as finance, healthcare, and law, it is recommended to verify that the model actually executing the task is consistent with the one selected on the frontend.73% similarUnverified将反馈数据与具体执行上下文精确关联是定位问题根源和针对性优化提示词的关键72% similarUnverifiedIt is recommended to verify the authenticity of the model invoked by a relay service by designing targeted test cases and cross-referencing them against outputs from official channels.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/736833API
curl https://kongchang.com/api/v1/knowledge/claims/736833MCP
get_claim(id=736833)