Unverified50% confidenceFactExact time
Prompts are the only channel for interaction between the application layer and large language models; all prompt engineering, context engineering, loop engineering and harness engineering are essentially about assembling a single prompt.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPrompt engineering is essentially one-off text within the context window, making it difficult to carry complex workflow logic, external tool calls, and large amounts of reference material.76% similarUnverifiedPrompt engineering refers to the techniques and methodologies for guiding large language models to produce more accurate outputs through carefully designed input prompts, encompassing technical paradigms such as zero-shot prompting, few-shot prompting, chain-of-thought, and self-consistency.75% similarUnverifiedPrompt engineering guides model output by carefully constructing input text, with all its control signals concentrated in the natural language channel, making it difficult to precisely express structured intent, and each interaction requires re-describing, with high debugging cost and unstable results.73% similarUnverifiedStructured Prompt means breaking a task down into explicit fields and constraints rather than describing it casually in natural language.73% similarUnverified前沿绘图模型内部通常搭配小型语言模型对用户输入进行语义理解和扩展补全,该机制被称为提示词扩展(Prompt Expansion)72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1133151API
curl https://kongchang.com/api/v1/knowledge/claims/1133151MCP
get_claim(id=1133151)