Unverified50% confidenceFactExact time
Foundational large model concepts include Token, context window, and Prompt Engineering.
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Long-term
Relevance
9/11/2026
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UnverifiedPrompt Engineering, tokens, context windows, and API calls are the foundational prerequisite knowledge for interacting with large models.77% similarUnverifiedAs mainstream models' context windows expand to the million-token level, context engineering is gradually becoming the central topic of the next phase of prompt engineering.76% similarUnverifiedContext engineering is the systematic design and optimization of the contextual information fed to an LLM, enabling the model to obtain the most relevant information within a limited context window to complete a task.73% similarUnverifiedThe layered design philosophy for multi-terminal automation is to prioritize framework-level APIs, fall back to system-level simulation when framework APIs are unavailable, and use visual large models as the last resort.72% similarUnverified在大模型领域，Harness 层承担 prompt 管理、上下文窗口调度、工具调用协议、错误重试、token 预算控制等职责69% similar
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