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M
McKay Wrigley
N
Nick Dobo
S
Sam Altman
领导 OpenAI 实现 AGI 和超智能,重新定义 AI 发展路径,并推动 AI 技术的商业化和应用。
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Toby Lutke: 我认为“上下文工程”比“提示工程”更能准确地描述核心技能,即为大型语言模型提供足够的背景信息,使其能够合理地解决任务。这不仅仅是提出问题,而是提供所有必要的信息,以便模型能够理解并产生有用的输出。 McKay Wrigley: 我完全同意上下文工程的重要性。现在,通过精心组织上下文来减少模型的“战争迷雾”才能获得更好的性能。这意味着我们需要更好地理解模型的信息需求,并以一种易于理解的方式提供信息。 Nick Dobo: 我认为上下文工程的未来将包括提供工具、代理环境和护栏,以便大型语言模型能够自行查找所需的上下文。这将使模型能够更自主地解决问题,并减少对人工干预的需求。

Deep Dive

Shownotes Transcript

Context engineering quickly becomes a core skill for anyone working with large language models (LLMs) and AI agents. Unlike prompt engineering, which is about crafting single questions or requests, context engineering focuses on providing the right background, files, and environment so LLMs can solve your task.**Get Ad Free AI Daily Brief: **⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠)

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