<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>CoT on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/cot/</link><description>Recent content in CoT on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 16 Jul 2026 11:37:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/cot/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型思维链推理：CoT技术演进与未来方向</title><link>https://guijiagi.com/posts/b1-acff1ec2/</link><pubDate>Thu, 16 Jul 2026 11:37:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-acff1ec2/</guid><description>系统梳理思维链推理技术的发展，从基础CoT到Tree of Thoughts再到推理时Scaling</description></item><item><title>大模型推理增强技术：o1之后的推理范式演进</title><link>https://guijiagi.com/posts/b2-ff7086a1/</link><pubDate>Thu, 16 Jul 2026 10:48:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-ff7086a1/</guid><description>分析o1之后推理增强技术的最新进展，涵盖隐式CoT、过程奖励模型与推理时搜索的工程实践</description></item><item><title>Prompt工程进阶：思维链、自一致性与推理增强技术</title><link>https://guijiagi.com/posts/b2-337d8871/</link><pubDate>Thu, 16 Jul 2026 10:12:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-337d8871/</guid><description>从CoT到ToT再到GoT，系统梳理提示工程中的推理增强技术栈及其适用场景</description></item><item><title>Prompt工程进阶：思维链到思维树的演进</title><link>https://guijiagi.com/posts/article-18/</link><pubDate>Sun, 12 Jul 2026 19:50:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-18/</guid><description>从CoT到ToT再到GoT，系统梳理Prompt工程中思维结构化的技术演进和实践方法</description></item><item><title>Prompt工程进阶：思维链到思维树的演进</title><link>https://guijiagi.com/posts/b2-e84f5637/</link><pubDate>Sun, 12 Jul 2026 19:50:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-e84f5637/</guid><description>从CoT到ToT再到GoT，系统梳理Prompt工程中思维结构化的技术演进和实践方法</description></item><item><title>大模型推理时计算：Test-time Compute 的理论与实践</title><link>https://guijiagi.com/posts/test-time-compute-theory-practice/</link><pubDate>Sun, 28 Jun 2026 11:17:00 +0800</pubDate><guid>https://guijiagi.com/posts/test-time-compute-theory-practice/</guid><description>深入解析Test-time Compute的原理、方法与实践，探讨推理时计算Scaling的新范式</description></item><item><title>Chain-of-Thought提示工程进阶</title><link>https://guijiagi.com/posts/chain-of-thought-advanced/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/chain-of-thought-advanced/</guid><description>从基础CoT到高级变体的全面指南，掌握思维链提示工程的进阶技巧</description></item><item><title>Chain-of-Thought提示工程进阶</title><link>https://guijiagi.com/posts/cot-prompting-advanced/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/cot-prompting-advanced/</guid><description>Chain-of-Thought提示工程进阶</description></item><item><title>Prompt 链式设计：从简单到复杂的推理阶梯</title><link>https://guijiagi.com/posts/prompt-chain-design/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/prompt-chain-design/</guid><description>系统讲解 Prompt 链式设计的原理、模式与工程实践，构建从简单推理到复杂任务分解的完整方法论</description></item><item><title>Chain of Thought 精通：从零到推理增强</title><link>https://guijiagi.com/posts/chain-of-thought-mastery/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/chain-of-thought-mastery/</guid><description>深入解析 Chain of Thought 提示技术，从基础概念到高级变体，全面掌握 CoT 推理增强的实践方法。</description></item><item><title>思维链 Prompt 工程指南：让 LLM 学会一步步思考</title><link>https://guijiagi.com/posts/chain-of-thought-guide/</link><pubDate>Wed, 24 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/chain-of-thought-guide/</guid><description>深入解析思维链（Chain-of-Thought）Prompt 工程技术，涵盖 Zero-shot CoT、Few-shot CoT、Self-Consistency、Tree-of-Thought 与 Graph-of-Thought 的原理、对比与实战。</description></item></channel></rss>