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kyegomez/tree-of-thoughts
默认分支 main · commit b6197795 · 扫描时间 2026/5/23 12:41:57
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 kyegomez/tree-of-thoughts 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- mediumtopics#1Add more specific topics related to LLM reasoning frameworks and structured prompting.
原因:
当前artificial-intelligence, chatgpt, deep-learning, gpt4, multimodal, prompt, prompt-engineering, prompt-learning, prompt-tuning
复制粘贴的修复artificial-intelligence, chatgpt, deep-learning, gpt4, multimodal, prompt, prompt-engineering, prompt-learning, prompt-tuning, llm-reasoning, tree-of-thoughts, structured-prompting, python-library
- lowreadme#2Add a 'Why Choose Tree of Thoughts?' or 'Comparison' section to the README.
原因:
复制粘贴的修复Add a new section to the README, for example: '## Why Choose Tree of Thoughts? While frameworks like LangChain and LlamaIndex offer broad LLM orchestration, `kyegomez/tree-of-thoughts` provides a dedicated, plug-and-play Python implementation specifically for the Tree of Thoughts reasoning framework. This allows developers to directly integrate advanced, deliberate problem-solving capabilities into their LLM applications, going beyond basic prompting or Chain-of-Thought methods.'
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- LangChain · 被推荐 2 次
- LlamaIndex · 被推荐 2 次
- GSM8K · 被推荐 1 次
- MATH · 被推荐 1 次
- Big-Bench Hard · 被推荐 1 次
- 品类问题How can I enhance large language model reasoning capabilities for complex problem-solving tasks?你:未被推荐AI 推荐顺序:
- GSM8K
- MATH
- Big-Bench Hard
- ARC
- Chain-of-Thought (CoT) Prompting
- Tree-of-Thought (ToT) Prompting
- Self-Consistency Decoding
- Program-Aided Language Models (PAL)
- LangChain
- LlamaIndex
- Wolfram Alpha
- Google Search API
- Bing Search API
- Reinforcement Learning from Human Feedback (RLHF)
- Reinforcement Learning from AI Feedback (RLAIF)
- Mixtral 8x7B
- Claude 2.1
- GPT-4 Turbo
AI 推荐了 18 个替代方案,却始终没点名 kyegomez/tree-of-thoughts。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Seeking a Python library to boost LLM reasoning for complex tasks via structured prompting.你:未被推荐AI 推荐顺序:
- LangChain
- LlamaIndex
- Instructor
- Guidance
- Marvin
- Outlines
AI 推荐了 6 个替代方案,却始终没点名 kyegomez/tree-of-thoughts。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesspass
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of kyegomez/tree-of-thoughts?passAI 明确点名了 kyegomez/tree-of-thoughts
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts kyegomez/tree-of-thoughts in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 kyegomez/tree-of-thoughts
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo kyegomez/tree-of-thoughts solve, and who is the primary audience?passAI 明确点名了 kyegomez/tree-of-thoughts
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 kyegomez/tree-of-thoughts 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/kyegomez/tree-of-thoughts)<a href="https://repogeo.com/zh/r/kyegomez/tree-of-thoughts"><img src="https://repogeo.com/badge/kyegomez/tree-of-thoughts.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
kyegomez/tree-of-thoughts — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3