📄 中文摘要
知识存在于个人的头脑中，但随着时间推移或项目变更，这种知识会逐渐退化。人类大脑处理信息的能力是有限的，因此需要有效的知识外化方法。传统的知识管理工具如索引卡、Zettelkasten、GTD、维基和第二大脑等，旨在在外化思维的同时保持其结构。然而，随着大型语言模型（LLMs）的出现，知识外化的方式需要适应机器的读取需求，确保机器能够正确理解而不产生幻觉或选择矛盾的信息。提出了一种新的方法，旨在解决这一挑战。
你的知识，你的模型 — 第一部分：一种确定性知识外化的方法
📄 English Summary
Your Knowledge, Your Model — Part 1: A Method for Deterministic Knowledge Externalization
Knowledge exists in a person's mind but degrades over time or with project changes. The human brain has a limited capacity for processing information, necessitating effective knowledge externalization methods. Traditional knowledge management tools like index cards, Zettelkasten, GTD, wikis, and Second Brain aim to externalize thinking while maintaining its structure. However, with the advent of large language models (LLMs), the approach to knowledge externalization must adapt to the needs of machines, ensuring they can read and interpret information correctly without hallucinations or choosing between contradictory facts. A new method is proposed to address this challenge.