Unverified50% confidenceOpinionExact time
Theo的核心观点是这套方法的重点不是让模型更会写代码，而是让模型更擅长与人沟通汇报工作
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/25/2026
First Seen
Valid until: 11/23/2026
Sources
Related Entities
Related Claims
Unverified提示词工程本质上是利用模型已有能力提供更多相关信息，并未扩展模型的能力边界73% similarUnverifiedAssigning a role to the model (such as an expert) does not activate a specific module within the model, but rather guides the model to respond in the tone and way of thinking of that role.70% similarUnverifiedStreaming inference capability allows the model to begin generating a response before the user has finished speaking, enabling natural conversation in a think-as-you-speak manner.69% similarUnverified语言模型对工具输出有一定判断力，外部知识与模型内部信念的偏差程度越大模型越不相信69% similarUnverifiedThe auxiliary model serves only as a front-end acceleration tool and does not replace the main model in core decision-making; the main model's original response style, semantic logic, and knowledge accuracy remain in their native state.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/799738API
curl https://kongchang.com/api/v1/knowledge/claims/799738MCP
get_claim(id=799738)