Unverified50% confidenceFactExact time
Large language models use 'continuation' as their basic paradigm during generation, naturally tending to produce complete new content, whereas editing tasks require the model to target 'delta operations'.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
Unverified任何'结果确定、过程需要生成'的任务都可尝试把大语言模型当作约束求解器和路径规划器，而非单纯文本生成器76% similarUnverifiedIncrementally building in stages (divide-and-conquer prompting) works better than sending an ultra-long prompt containing all requirements to a large language model, as it improves generation quality, enables timely validation, and creates version snapshots.73% similarUnverified在充分的上下文环境下，大语言模型会主动复用相邻代码的模式，保持设计模式、命名规范和架构风格的一致性73% similarUnverifiedLarge language models perform better on code explanation tasks than on code generation tasks.72% similarUnverified大语言模型的自然倾向是生成流畅文本，而Agent工作流需要严格、可预测、机器可读的结构化输出，两者存在冲突71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/947000API
curl https://kongchang.com/api/v1/knowledge/claims/947000MCP
get_claim(id=947000)