https://sinimite.work/tags/chainofthought/Recent content in ChainOfThought on SiBloghttps://sinimite.work/images/og-default.svg?v=20260525-210321https://sinimite.work/images/og-default.svg?v=20260525-210321Hugo -- 0.156.0zh-cnSun, 24 May 2026 16:05:10 +0900https://sinimite.work/posts/points-of-the-podcast-language-agents-from-reasoning-to-acting/Sun, 24 May 2026 16:05:10 +0900https://sinimite.work/posts/points-of-the-podcast-language-agents-from-reasoning-to-acting/一篇关于 Language Agents: From Reasoning to Acting podcast 的观后感，从 ReAct、Reflexion、Tree of Thoughts、memory、benchmark 和 ACI 出发，解释 LLM agent 为什么是模型、工具、记忆、环境、评估和 UX 共同构成的工程系统。https://sinimite.work/posts/llm-from-hidden-state-to-token-output/Sat, 02 May 2026 00:00:00 +0000https://sinimite.work/posts/llm-from-hidden-state-to-token-output/为什么 Chain of Thought 有效，为什么 prompt 不是越长越好，为什么模型会幻觉？这些看似无关的工程现象，背后其实是同一个核心机制在不同侧面的体现。本文用一把“万能钥匙”打开 LLM 工程的五扇门。https://sinimite.work/posts/prompt-engineering-best-practices-guide/Wed, 11 Mar 2026 11:00:00 +0900https://sinimite.work/posts/prompt-engineering-best-practices-guide/系统梳理 2025-2026 年 Prompt Engineering 与 Context Engineering 的生产级最佳实践，涵盖 Claude、GPT、长上下文、Prompt Chaining、Tool Use 与 Eval 工作流。https://sinimite.work/posts/llm-chain-of-thought-cot/Wed, 04 Mar 2026 21:51:00 +0900https://sinimite.work/posts/llm-chain-of-thought-cot/理解什么是LLM Chain-of-Thought (CoT)，以及如何进行 prompt engineering触发 LLM的Chain-of-Thought (CoT)